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class="profile-avatar u-positionAbsolute" alt="Ali Beskok" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/103082674/22882576/22029746/s200_ali.beskok.jpg" /></div><div class="title-container"><h1 class="ds2-5-heading-sans-serif-sm">Ali Beskok</h1><div class="affiliations-container fake-truncate js-profile-affiliations"><div><a class="u-tcGrayDarker" href="https://smu.academia.edu/">Southern Methodist University</a>, <a class="u-tcGrayDarker" href="https://smu.academia.edu/Departments/Mechanical_Engineering/Documents">Mechanical Engineering</a>, <span class="u-tcGrayDarker">Faculty Member</span></div></div></div></div><div class="sidebar-cta-container"><button class="ds2-5-button hidden profile-cta-button grow js-profile-follow-button" data-broccoli-component="user-info.follow-button" 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class="data">1</p></div></a><span><div class="stat-container"><p class="label"><span class="js-profile-total-view-text">Public Views</span></p><p class="data"><span class="js-profile-view-count"></span></p></div></span></div><div class="ri-section"><div class="ri-section-header"><span>Interests</span></div><div class="ri-tags-container"><a data-click-track="profile-user-info-expand-research-interests" data-has-card-for-ri-list="103082674" href="https://www.academia.edu/Documents/in/Mechanical_Engineering"><div id="js-react-on-rails-context" style="display:none" data-rails-context="{"inMailer":false,"i18nLocale":"en","i18nDefaultLocale":"en","href":"https://smu.academia.edu/ABeskok","location":"/ABeskok","scheme":"https","host":"smu.academia.edu","port":null,"pathname":"/ABeskok","search":null,"httpAcceptLanguage":null,"serverSide":false}"></div> <div class="js-react-on-rails-component" style="display:none" data-component-name="Pill" data-props="{"color":"gray","children":["Mechanical 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data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/116026275/Transport_of_Water_in_Graphene_Nanochannels"><img alt="Research paper thumbnail of Transport of Water in Graphene Nanochannels" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/116026275/Transport_of_Water_in_Graphene_Nanochannels">Transport of Water in Graphene Nanochannels</a></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="116026275"><a 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class="js-work-strip profile--work_container" data-work-id="116026273"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/116026273/Saltwater_transport_through_pristine_and_positively_charged_graphene_membranes"><img alt="Research paper thumbnail of Saltwater transport through pristine and positively charged graphene membranes" class="work-thumbnail" src="https://attachments.academia-assets.com/112271397/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/116026273/Saltwater_transport_through_pristine_and_positively_charged_graphene_membranes">Saltwater transport through pristine and positively charged graphene membranes</a></div><div class="wp-workCard_item"><span>Journal of Chemical Physics</span><span>, Jul 14, 2018</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Nonlinear-response properties in a simplified time-dependent density functional theory (sTD-DFT</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="533f4c6343d2a345ab46ba141c04a944" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":112271397,"asset_id":116026273,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/112271397/download_file?st=MTczNDAzODQ1Myw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="116026273"><a 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profile--work_container" data-work-id="116026271"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/116026271/Numerical_Simulation_of_Gas_Flows_in_Micro_Filters"><img alt="Research paper thumbnail of Numerical Simulation of Gas Flows in Micro-Filters" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/116026271/Numerical_Simulation_of_Gas_Flows_in_Micro_Filters">Numerical Simulation of Gas Flows in Micro-Filters</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Gas flows through micro-filters are simulated in the continuum and slip flow regimes as a functio...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Gas flows through micro-filters are simulated in the continuum and slip flow regimes as a function of the Knudsen, Reynolds and Mach numbers. The numerical simulations are based on the spectral element formulation of compressible Navier-Stokes equations, which utilize previously developed high-order velocity slip and temperature jump boundary conditions. Both slip and no-slip simulations are used to identify the rarefaction effects. The simulation results show skin friction and form-drag reduction with increased Knudsen number. Pressure drops across the filters are compared against several empirical scaling laws, available in the literature. Compressibility becomes important for high-speed flows, creating large density fluctuations across the micro-filter elements. For high Mach number flows, interactions between thermal and kinetic energies of the fluid are observed. It is also shown that viscous heating plays a significant role for highspeed gas flows, impacting heat transfer characteristics of micro-filters.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="116026271"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="116026271"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 116026271; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=116026271]").text(description); $(".js-view-count[data-work-id=116026271]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 116026271; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='116026271']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 116026271, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=116026271]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":116026271,"title":"Numerical Simulation of Gas Flows in Micro-Filters","translated_title":"","metadata":{"abstract":"Gas flows through micro-filters are simulated in the continuum and slip flow regimes as a function of the Knudsen, Reynolds and Mach numbers. The numerical simulations are based on the spectral element formulation of compressible Navier-Stokes equations, which utilize previously developed high-order velocity slip and temperature jump boundary conditions. Both slip and no-slip simulations are used to identify the rarefaction effects. The simulation results show skin friction and form-drag reduction with increased Knudsen number. Pressure drops across the filters are compared against several empirical scaling laws, available in the literature. Compressibility becomes important for high-speed flows, creating large density fluctuations across the micro-filter elements. For high Mach number flows, interactions between thermal and kinetic energies of the fluid are observed. It is also shown that viscous heating plays a significant role for highspeed gas flows, impacting heat transfer characteristics of micro-filters.","publication_date":{"day":11,"month":11,"year":2001,"errors":{}}},"translated_abstract":"Gas flows through micro-filters are simulated in the continuum and slip flow regimes as a function of the Knudsen, Reynolds and Mach numbers. The numerical simulations are based on the spectral element formulation of compressible Navier-Stokes equations, which utilize previously developed high-order velocity slip and temperature jump boundary conditions. Both slip and no-slip simulations are used to identify the rarefaction effects. The simulation results show skin friction and form-drag reduction with increased Knudsen number. Pressure drops across the filters are compared against several empirical scaling laws, available in the literature. Compressibility becomes important for high-speed flows, creating large density fluctuations across the micro-filter elements. For high Mach number flows, interactions between thermal and kinetic energies of the fluid are observed. It is also shown that viscous heating plays a significant role for highspeed gas flows, impacting heat transfer characteristics of micro-filters.","internal_url":"https://www.academia.edu/116026271/Numerical_Simulation_of_Gas_Flows_in_Micro_Filters","translated_internal_url":"","created_at":"2024-03-09T22:51:00.195-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":103082674,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Numerical_Simulation_of_Gas_Flows_in_Micro_Filters","translated_slug":"","page_count":null,"language":"en","content_type":"Work","summary":"Gas flows through micro-filters are simulated in the continuum and slip flow regimes as a function of the Knudsen, Reynolds and Mach numbers. The numerical simulations are based on the spectral element formulation of compressible Navier-Stokes equations, which utilize previously developed high-order velocity slip and temperature jump boundary conditions. Both slip and no-slip simulations are used to identify the rarefaction effects. The simulation results show skin friction and form-drag reduction with increased Knudsen number. Pressure drops across the filters are compared against several empirical scaling laws, available in the literature. Compressibility becomes important for high-speed flows, creating large density fluctuations across the micro-filter elements. For high Mach number flows, interactions between thermal and kinetic energies of the fluid are observed. It is also shown that viscous heating plays a significant role for highspeed gas flows, impacting heat transfer characteristics of micro-filters.","owner":{"id":103082674,"first_name":"Ali","middle_initials":null,"last_name":"Beskok","page_name":"ABeskok","domain_name":"smu","created_at":"2019-02-21T14:44:03.747-08:00","display_name":"Ali Beskok","url":"https://smu.academia.edu/ABeskok"},"attachments":[],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science"},{"id":2728759,"name":"Micro-Electro-Mechanical Systems (MEMS) technology","url":"https://www.academia.edu/Documents/in/Micro-Electro-Mechanical_Systems_MEMS_technology"}],"urls":[{"id":40181219,"url":"https://doi.org/10.1115/imece2001/mems-23873"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="116026269"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/116026269/Effect_of_Velocity_Slip_in_Nanoscale_Electroosmotic_Flows_Molecular_and_Continuum_Transport_Perspectives"><img alt="Research paper thumbnail of Effect of Velocity-Slip in Nanoscale Electroosmotic Flows: Molecular and Continuum Transport Perspectives" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/116026269/Effect_of_Velocity_Slip_in_Nanoscale_Electroosmotic_Flows_Molecular_and_Continuum_Transport_Perspectives">Effect of Velocity-Slip in Nanoscale Electroosmotic Flows: Molecular and Continuum Transport Perspectives</a></div><div class="wp-workCard_item"><span>World Academy of Science, Engineering and Technology, International Journal of Mechanical and Mechatronics Engineering</span><span>, Jul 9, 2018</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="116026269"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="116026269"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 116026269; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="116026264"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/116026264/Perspectives_on_continuum_flow_models_for_force_driven_nano_channel_liquid_flows"><img alt="Research paper thumbnail of Perspectives on continuum flow models for force-driven nano-channel liquid flows" class="work-thumbnail" src="https://attachments.academia-assets.com/112271377/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/116026264/Perspectives_on_continuum_flow_models_for_force_driven_nano_channel_liquid_flows">Perspectives on continuum flow models for force-driven nano-channel liquid flows</a></div><div class="wp-workCard_item"><span>Bulletin of the American Physical Society</span><span>, Nov 20, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Submitted for the DFD17 Meeting of The American Physical Society Perspectives on continuum flow m...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Submitted for the DFD17 Meeting of The American Physical Society Perspectives on continuum flow models for force-driven nanochannel liquid flows ALI BESKOK, JAFAR GHORBANIAN, ALPER CELEBI, Southern Methodist University-A phenomenological continuum model is developed using systematic molecular dynamics (MD) simulations of force-driven liquid argon flows confined in gold nano-channels at a fixed thermodynamic state. Well known density layering near the walls leads to the definition of an effective channel height and a density deficit parameter. While the former defines the slip-plane, the latter parameter relates channel averaged density with the desired thermodynamic state value. Definitions of these new parameters require a single MD simulation performed for a specific liquid-solid pair at the desired thermodynamic state and used for calibration of model parameters. Combined with our observations of constant slip-length and kinematic viscosity, the model accurately predicts the velocity distribution and volumetric and mass flow rates for force-driven liquid flows in different height nano-channels. Model is verified for liquid argon flow at distinct thermodynamic states and using various argon-gold interaction strengths. Further verification is performed for water flow in silica and gold nano-channels, exhibiting slip lengths of 1.2 nm and 15.5 nm, respectively. Excellent agreements between the model and the MD simulations are reported for channel heights as small as 3 nm for various liquid-solid pairs.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="19cd4efdec73625ceb6fac0075c1f13e" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":112271377,"asset_id":116026264,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/112271377/download_file?st=MTczNDAzODQ1Myw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="116026264"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="116026264"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 116026264; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=116026264]").text(description); $(".js-view-count[data-work-id=116026264]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 116026264; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='116026264']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 116026264, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "19cd4efdec73625ceb6fac0075c1f13e" } } $('.js-work-strip[data-work-id=116026264]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":116026264,"title":"Perspectives on continuum flow models for force-driven nano-channel liquid flows","translated_title":"","metadata":{"publisher":"Cambridge University Press","grobid_abstract":"Submitted for the DFD17 Meeting of The American Physical Society Perspectives on continuum flow models for force-driven nanochannel liquid flows ALI BESKOK, JAFAR GHORBANIAN, ALPER CELEBI, Southern Methodist University-A phenomenological continuum model is developed using systematic molecular dynamics (MD) simulations of force-driven liquid argon flows confined in gold nano-channels at a fixed thermodynamic state. Well known density layering near the walls leads to the definition of an effective channel height and a density deficit parameter. While the former defines the slip-plane, the latter parameter relates channel averaged density with the desired thermodynamic state value. Definitions of these new parameters require a single MD simulation performed for a specific liquid-solid pair at the desired thermodynamic state and used for calibration of model parameters. Combined with our observations of constant slip-length and kinematic viscosity, the model accurately predicts the velocity distribution and volumetric and mass flow rates for force-driven liquid flows in different height nano-channels. Model is verified for liquid argon flow at distinct thermodynamic states and using various argon-gold interaction strengths. Further verification is performed for water flow in silica and gold nano-channels, exhibiting slip lengths of 1.2 nm and 15.5 nm, respectively. Excellent agreements between the model and the MD simulations are reported for channel heights as small as 3 nm for various liquid-solid pairs.","publication_date":{"day":20,"month":11,"year":2017,"errors":{}},"publication_name":"Bulletin of the American Physical Society","grobid_abstract_attachment_id":112271377},"translated_abstract":null,"internal_url":"https://www.academia.edu/116026264/Perspectives_on_continuum_flow_models_for_force_driven_nano_channel_liquid_flows","translated_internal_url":"","created_at":"2024-03-09T22:50:58.991-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":103082674,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":112271377,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/112271377/thumbnails/1.jpg","file_name":"MWS_DFD17-2017-000396.pdf","download_url":"https://www.academia.edu/attachments/112271377/download_file?st=MTczNDAzODQ1Myw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Perspectives_on_continuum_flow_models_fo.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/112271377/MWS_DFD17-2017-000396-libre.pdf?1710053808=\u0026response-content-disposition=attachment%3B+filename%3DPerspectives_on_continuum_flow_models_fo.pdf\u0026Expires=1734042053\u0026Signature=Fgj3QnlLdPSIE2rQoD7y3JoXdDbVlBkGIFIU96RHpJopC3aUAzozMEOvG6JtiThq00V~01vNvHWQbgTMRlygJfEnkLrH0esAo~jDGXUq~CL~h3MSN8qQsFV~0EW3u5O8U619bFfuj0zAoc3y331HJmjZdob7bZiXQ67NiroLQmsgxWAZl01GJvb3d4SkNLXCjOH2Mu3nE1zbnSbDw1zx4ICQBDBMGImbP5kjCsP-1c~JUerIkZzLvds1HgyY6CsA372CLWxxl63eOGEQfsGPZU5lg4aH5TJDLY~RKkw0Em~UGYEaqlvgQviEIttoVtN8mufq-fJ01DNfu7n557xu1g__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Perspectives_on_continuum_flow_models_for_force_driven_nano_channel_liquid_flows","translated_slug":"","page_count":1,"language":"en","content_type":"Work","summary":"Submitted for the DFD17 Meeting of The American Physical Society Perspectives on continuum flow models for force-driven nanochannel liquid flows ALI BESKOK, JAFAR GHORBANIAN, ALPER CELEBI, Southern Methodist University-A phenomenological continuum model is developed using systematic molecular dynamics (MD) simulations of force-driven liquid argon flows confined in gold nano-channels at a fixed thermodynamic state. Well known density layering near the walls leads to the definition of an effective channel height and a density deficit parameter. While the former defines the slip-plane, the latter parameter relates channel averaged density with the desired thermodynamic state value. Definitions of these new parameters require a single MD simulation performed for a specific liquid-solid pair at the desired thermodynamic state and used for calibration of model parameters. Combined with our observations of constant slip-length and kinematic viscosity, the model accurately predicts the velocity distribution and volumetric and mass flow rates for force-driven liquid flows in different height nano-channels. Model is verified for liquid argon flow at distinct thermodynamic states and using various argon-gold interaction strengths. Further verification is performed for water flow in silica and gold nano-channels, exhibiting slip lengths of 1.2 nm and 15.5 nm, respectively. Excellent agreements between the model and the MD simulations are reported for channel heights as small as 3 nm for various liquid-solid pairs.","owner":{"id":103082674,"first_name":"Ali","middle_initials":null,"last_name":"Beskok","page_name":"ABeskok","domain_name":"smu","created_at":"2019-02-21T14:44:03.747-08:00","display_name":"Ali Beskok","url":"https://smu.academia.edu/ABeskok"},"attachments":[{"id":112271377,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/112271377/thumbnails/1.jpg","file_name":"MWS_DFD17-2017-000396.pdf","download_url":"https://www.academia.edu/attachments/112271377/download_file?st=MTczNDAzODQ1Myw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Perspectives_on_continuum_flow_models_fo.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/112271377/MWS_DFD17-2017-000396-libre.pdf?1710053808=\u0026response-content-disposition=attachment%3B+filename%3DPerspectives_on_continuum_flow_models_fo.pdf\u0026Expires=1734042053\u0026Signature=Fgj3QnlLdPSIE2rQoD7y3JoXdDbVlBkGIFIU96RHpJopC3aUAzozMEOvG6JtiThq00V~01vNvHWQbgTMRlygJfEnkLrH0esAo~jDGXUq~CL~h3MSN8qQsFV~0EW3u5O8U619bFfuj0zAoc3y331HJmjZdob7bZiXQ67NiroLQmsgxWAZl01GJvb3d4SkNLXCjOH2Mu3nE1zbnSbDw1zx4ICQBDBMGImbP5kjCsP-1c~JUerIkZzLvds1HgyY6CsA372CLWxxl63eOGEQfsGPZU5lg4aH5TJDLY~RKkw0Em~UGYEaqlvgQviEIttoVtN8mufq-fJ01DNfu7n557xu1g__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":112271376,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/112271376/thumbnails/1.jpg","file_name":"MWS_DFD17-2017-000396.pdf","download_url":"https://www.academia.edu/attachments/112271376/download_file","bulk_download_file_name":"Perspectives_on_continuum_flow_models_fo.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/112271376/MWS_DFD17-2017-000396-libre.pdf?1710053806=\u0026response-content-disposition=attachment%3B+filename%3DPerspectives_on_continuum_flow_models_fo.pdf\u0026Expires=1734042053\u0026Signature=UzUw-Yhn6CXdza7yBUrFTou4v5w1iXG4Iq-6lteqpHOGCb9sVHolsI-2-vDJwFs9UsmvGIeMgOokn48PJSBYPutm~sfBBUGEJPvEpOmEaoHpF5h7PRTHraLGQS1LgazYeHOEg62vwxZ6f8ogxplV1kWvH6evMkI9vGEaJLqzmO1KHlj1gQhZ6KZXrMqmevvDzQJdJNSJinf6NQ8pwXmnFxgFicjiRrT7CGXkI-b3sWV5r3LvoCqI6ETgdCPRpRxo8LZmfuspny8f3eWZaDNJvlsOkpKrG7zWN3XqWT4ee4dYjdPeh41dPdyJ4R-QG-9pbJIqSi6Yc~xbrIDkE-6Z7g__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":511,"name":"Materials Science","url":"https://www.academia.edu/Documents/in/Materials_Science"},{"id":512,"name":"Mechanics","url":"https://www.academia.edu/Documents/in/Mechanics"}],"urls":[{"id":40181213,"url":"http://absimage.aps.org/image/DFD17/MWS_DFD17-2017-000396.pdf"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="116026262"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/116026262/Transient_Electrophoretic_Motion_of_Charged_Particles_Through_an_L_Shaped_Microchannel"><img alt="Research paper thumbnail of Transient Electrophoretic Motion of Charged Particles Through an L-Shaped Microchannel" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/116026262/Transient_Electrophoretic_Motion_of_Charged_Particles_Through_an_L_Shaped_Microchannel">Transient Electrophoretic Motion of Charged Particles Through an L-Shaped Microchannel</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Direct current dielectrophoretic (DC-DEP) effects on the electrophoretic motion of charged polyst...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Direct current dielectrophoretic (DC-DEP) effects on the electrophoretic motion of charged polystyrene particles through an L-shaped microchannel were experimentally and numerically studied. In addition to the electrostatic and hydrodynamic forces, particles experience a negative DC-DEP force arising from the interaction between the dielectric particle and the induced spatially non-uniform electric field occurring around the corner of the L-shape microchannel. The latter force causes a cross-stream DEP motion so that the particle trajectory is shifted towards the outer corner of the turn. A two-dimensional (2D) Lagrangian particle tracking model taking into account the induced DC-DEP effect was used to predict the particle trajectory shift through the L-shaped channel, which achieves quantitative agreement with the experimental data.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="116026262"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="116026262"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 116026262; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=116026262]").text(description); $(".js-view-count[data-work-id=116026262]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 116026262; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='116026262']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 116026262, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=116026262]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":116026262,"title":"Transient Electrophoretic Motion of Charged Particles Through an L-Shaped Microchannel","translated_title":"","metadata":{"abstract":"Direct current dielectrophoretic (DC-DEP) effects on the electrophoretic motion of charged polystyrene particles through an L-shaped microchannel were experimentally and numerically studied. In addition to the electrostatic and hydrodynamic forces, particles experience a negative DC-DEP force arising from the interaction between the dielectric particle and the induced spatially non-uniform electric field occurring around the corner of the L-shape microchannel. The latter force causes a cross-stream DEP motion so that the particle trajectory is shifted towards the outer corner of the turn. A two-dimensional (2D) Lagrangian particle tracking model taking into account the induced DC-DEP effect was used to predict the particle trajectory shift through the L-shaped channel, which achieves quantitative agreement with the experimental data.","publication_date":{"day":null,"month":null,"year":2009,"errors":{}}},"translated_abstract":"Direct current dielectrophoretic (DC-DEP) effects on the electrophoretic motion of charged polystyrene particles through an L-shaped microchannel were experimentally and numerically studied. In addition to the electrostatic and hydrodynamic forces, particles experience a negative DC-DEP force arising from the interaction between the dielectric particle and the induced spatially non-uniform electric field occurring around the corner of the L-shape microchannel. The latter force causes a cross-stream DEP motion so that the particle trajectory is shifted towards the outer corner of the turn. A two-dimensional (2D) Lagrangian particle tracking model taking into account the induced DC-DEP effect was used to predict the particle trajectory shift through the L-shaped channel, which achieves quantitative agreement with the experimental data.","internal_url":"https://www.academia.edu/116026262/Transient_Electrophoretic_Motion_of_Charged_Particles_Through_an_L_Shaped_Microchannel","translated_internal_url":"","created_at":"2024-03-09T22:50:58.604-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":103082674,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Transient_Electrophoretic_Motion_of_Charged_Particles_Through_an_L_Shaped_Microchannel","translated_slug":"","page_count":null,"language":"en","content_type":"Work","summary":"Direct current dielectrophoretic (DC-DEP) effects on the electrophoretic motion of charged polystyrene particles through an L-shaped microchannel were experimentally and numerically studied. In addition to the electrostatic and hydrodynamic forces, particles experience a negative DC-DEP force arising from the interaction between the dielectric particle and the induced spatially non-uniform electric field occurring around the corner of the L-shape microchannel. The latter force causes a cross-stream DEP motion so that the particle trajectory is shifted towards the outer corner of the turn. A two-dimensional (2D) Lagrangian particle tracking model taking into account the induced DC-DEP effect was used to predict the particle trajectory shift through the L-shaped channel, which achieves quantitative agreement with the experimental data.","owner":{"id":103082674,"first_name":"Ali","middle_initials":null,"last_name":"Beskok","page_name":"ABeskok","domain_name":"smu","created_at":"2019-02-21T14:44:03.747-08:00","display_name":"Ali Beskok","url":"https://smu.academia.edu/ABeskok"},"attachments":[],"research_interests":[{"id":498,"name":"Physics","url":"https://www.academia.edu/Documents/in/Physics"},{"id":512,"name":"Mechanics","url":"https://www.academia.edu/Documents/in/Mechanics"},{"id":283531,"name":"Microchannel","url":"https://www.academia.edu/Documents/in/Microchannel"},{"id":371425,"name":"Electrophoresis","url":"https://www.academia.edu/Documents/in/Electrophoresis"},{"id":1130559,"name":"Electric Field","url":"https://www.academia.edu/Documents/in/Electric_Field"}],"urls":[{"id":40181211,"url":"https://doi.org/10.1115/imece2009-12891"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="116026260"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/116026260/Hydrodynamic_Slip_Length_of_Water_in_Carbon_Based_Nanoconfinements_A_Molecular_Dynamics_Investigation"><img alt="Research paper thumbnail of Hydrodynamic Slip Length of Water in Carbon-Based Nanoconfinements: A Molecular Dynamics Investigation" class="work-thumbnail" src="https://attachments.academia-assets.com/112271379/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/116026260/Hydrodynamic_Slip_Length_of_Water_in_Carbon_Based_Nanoconfinements_A_Molecular_Dynamics_Investigation">Hydrodynamic Slip Length of Water in Carbon-Based Nanoconfinements: A Molecular Dynamics Investigation</a></div><div class="wp-workCard_item"><span>DergiPark (Istanbul University)</span><span>, Oct 31, 2019</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Molecular dynamics (MD) simulations of force-driven deionized water flows both in nanoscale perio...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Molecular dynamics (MD) simulations of force-driven deionized water flows both in nanoscale periodic systems and in carbon-based nanoconfinements are performed. Carbon nanotubes (CNTs) and graphene nanochannels are considered to investigate the size and curvature effects on the slip length of water at a fixed thermodynamic state. Nanochannel flow simulations exhibit plug velocity profiles with large slip length at the interface that are modeled by Navier-type slip boundary condition. Large slip lengths are mainly due to the high surface density of carbon-based nanoconduits and weak interaction strengths between carbon atoms and water molecules. A constant slip length of 64 nm in graphene channels are observed for heights varying from 2.71 to 9.52 nm. However, considering comparable CNT diameters, slip lengths are found to be size-dependent. Slip length in CNTs decreases from 204 nm to approximately 68 nm with increased diameter.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="e90fcebbd87775ca049cc96d4328493f" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":112271379,"asset_id":116026260,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/112271379/download_file?st=MTczNDAzODQ1Myw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="116026260"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="116026260"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 116026260; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=116026260]").text(description); $(".js-view-count[data-work-id=116026260]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 116026260; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='116026260']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 116026260, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "e90fcebbd87775ca049cc96d4328493f" } } $('.js-work-strip[data-work-id=116026260]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":116026260,"title":"Hydrodynamic Slip Length of Water in Carbon-Based Nanoconfinements: A Molecular Dynamics Investigation","translated_title":"","metadata":{"publisher":"Istanbul University","ai_title_tag":"Slip Length of Water in Carbon Nanoconfinements via MD Simulations","grobid_abstract":"Molecular dynamics (MD) simulations of force-driven deionized water flows both in nanoscale periodic systems and in carbon-based nanoconfinements are performed. Carbon nanotubes (CNTs) and graphene nanochannels are considered to investigate the size and curvature effects on the slip length of water at a fixed thermodynamic state. Nanochannel flow simulations exhibit plug velocity profiles with large slip length at the interface that are modeled by Navier-type slip boundary condition. Large slip lengths are mainly due to the high surface density of carbon-based nanoconduits and weak interaction strengths between carbon atoms and water molecules. A constant slip length of 64 nm in graphene channels are observed for heights varying from 2.71 to 9.52 nm. However, considering comparable CNT diameters, slip lengths are found to be size-dependent. Slip length in CNTs decreases from 204 nm to approximately 68 nm with increased diameter.","publication_date":{"day":31,"month":10,"year":2019,"errors":{}},"publication_name":"DergiPark (Istanbul University)","grobid_abstract_attachment_id":112271379},"translated_abstract":null,"internal_url":"https://www.academia.edu/116026260/Hydrodynamic_Slip_Length_of_Water_in_Carbon_Based_Nanoconfinements_A_Molecular_Dynamics_Investigation","translated_internal_url":"","created_at":"2024-03-09T22:50:58.269-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":103082674,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":112271379,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/112271379/thumbnails/1.jpg","file_name":"1244041.pdf","download_url":"https://www.academia.edu/attachments/112271379/download_file?st=MTczNDAzODQ1Myw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Hydrodynamic_Slip_Length_of_Water_in_Car.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/112271379/1244041-libre.pdf?1710053849=\u0026response-content-disposition=attachment%3B+filename%3DHydrodynamic_Slip_Length_of_Water_in_Car.pdf\u0026Expires=1734042053\u0026Signature=Ii-sXPlUPc3gC8N8NwV0~Clc8i9~Pr91qGVPoTPkpKaRlyFE5Vv2VCqBBBkGXDwDAn2fhTFqlyR7AG0qHMgdlAOARxht064xc4L9R4b2eZWBLxJro3GImbdc0~a9~QIMISumdkGIYPXPHyTTXb-R689GV9G6G5sYorxs6G-Oz-VKtrTqShLIEnINt162aYKPA~DYM5cpDARQrD5p5z7YN88QVGTaoIHMlpGpnLJbuVzToU69g7TvHp~T5YvALmPiObthUGG~azNVkOreg77LTpYoYCvJGQJ-yebCyy25MykeWdCCGb36Qn3xYBvIj~YNS6-91ttTOcILPNoGIJTJmw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Hydrodynamic_Slip_Length_of_Water_in_Carbon_Based_Nanoconfinements_A_Molecular_Dynamics_Investigation","translated_slug":"","page_count":13,"language":"en","content_type":"Work","summary":"Molecular dynamics (MD) simulations of force-driven deionized water flows both in nanoscale periodic systems and in carbon-based nanoconfinements are performed. Carbon nanotubes (CNTs) and graphene nanochannels are considered to investigate the size and curvature effects on the slip length of water at a fixed thermodynamic state. Nanochannel flow simulations exhibit plug velocity profiles with large slip length at the interface that are modeled by Navier-type slip boundary condition. Large slip lengths are mainly due to the high surface density of carbon-based nanoconduits and weak interaction strengths between carbon atoms and water molecules. A constant slip length of 64 nm in graphene channels are observed for heights varying from 2.71 to 9.52 nm. However, considering comparable CNT diameters, slip lengths are found to be size-dependent. Slip length in CNTs decreases from 204 nm to approximately 68 nm with increased diameter.","owner":{"id":103082674,"first_name":"Ali","middle_initials":null,"last_name":"Beskok","page_name":"ABeskok","domain_name":"smu","created_at":"2019-02-21T14:44:03.747-08:00","display_name":"Ali Beskok","url":"https://smu.academia.edu/ABeskok"},"attachments":[{"id":112271379,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/112271379/thumbnails/1.jpg","file_name":"1244041.pdf","download_url":"https://www.academia.edu/attachments/112271379/download_file?st=MTczNDAzODQ1Myw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Hydrodynamic_Slip_Length_of_Water_in_Car.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/112271379/1244041-libre.pdf?1710053849=\u0026response-content-disposition=attachment%3B+filename%3DHydrodynamic_Slip_Length_of_Water_in_Car.pdf\u0026Expires=1734042053\u0026Signature=Ii-sXPlUPc3gC8N8NwV0~Clc8i9~Pr91qGVPoTPkpKaRlyFE5Vv2VCqBBBkGXDwDAn2fhTFqlyR7AG0qHMgdlAOARxht064xc4L9R4b2eZWBLxJro3GImbdc0~a9~QIMISumdkGIYPXPHyTTXb-R689GV9G6G5sYorxs6G-Oz-VKtrTqShLIEnINt162aYKPA~DYM5cpDARQrD5p5z7YN88QVGTaoIHMlpGpnLJbuVzToU69g7TvHp~T5YvALmPiObthUGG~azNVkOreg77LTpYoYCvJGQJ-yebCyy25MykeWdCCGb36Qn3xYBvIj~YNS6-91ttTOcILPNoGIJTJmw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":952571,"name":"Music Information Dynamics","url":"https://www.academia.edu/Documents/in/Music_Information_Dynamics"}],"urls":[{"id":40181209,"url":"https://dergipark.org.tr/tr/download/article-file/1244041"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="116026258"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/116026258/The_role_of_water_models_on_the_prediction_of_slip_length_of_water_in_graphene_nanochannels"><img alt="Research paper thumbnail of The role of water models on the prediction of slip length of water in graphene nanochannels" class="work-thumbnail" src="https://attachments.academia-assets.com/112271395/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/116026258/The_role_of_water_models_on_the_prediction_of_slip_length_of_water_in_graphene_nanochannels">The role of water models on the prediction of slip length of water in graphene nanochannels</a></div><div class="wp-workCard_item"><span>Journal of Chemical Physics</span><span>, Nov 7, 2019</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Slip lengths reported from molecular dynamics (MD) simulations of water flow in graphene nanochan...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Slip lengths reported from molecular dynamics (MD) simulations of water flow in graphene nanochannels show significant scatter in the literature. These discrepancies are in part due to the used water models. We demonstrate self-consistent comparisons of slip characteristics between the SPC, SPC/E, SPC/Fw, TIP3P, TIP4P, and TIP4P/2005 water models. The slip lengths are inferred using an analytical model that employs the shear viscosity of water and channel average velocities obtained from nonequilibrium MD simulations. First, viscosities for each water model are quantified using MD simulations of counterflowing, force-driven flows in periodic domains in the absence of physical walls. While the TIP4P/2005 model predicts water viscosity at the specified thermodynamic state with 1.7% error, the predictions of SPC/Fw and SPC/E models exhibit 13.9% and 23.1% deviations, respectively. Water viscosities obtained from SPC, TIP4P, and TIP3P models show larger deviations. Next, force-driven water flows in rigid (cold) and thermally vibrating (thermal) graphene nanochannels are simulated, resulting in pluglike velocity profiles. Large differences in the flow velocities are observed depending on the used water model and to a lesser extent on the choice of rigid vs thermal walls. Depending on the water model, the slip length of water on cold graphene walls varied between 34.2 nm and 62.9 nm, while the slip lengths of water on thermal graphene walls varied in the range of 38.1 nm-84.3 nm.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="ac1a371f657a3c35cab1e7fe8fe7b982" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":112271395,"asset_id":116026258,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/112271395/download_file?st=MTczNDAzODQ1Myw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="116026258"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="116026258"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 116026258; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=116026258]").text(description); $(".js-view-count[data-work-id=116026258]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 116026258; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='116026258']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 116026258, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "ac1a371f657a3c35cab1e7fe8fe7b982" } } $('.js-work-strip[data-work-id=116026258]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":116026258,"title":"The role of water models on the prediction of slip length of water in graphene nanochannels","translated_title":"","metadata":{"publisher":"American Institute of Physics","grobid_abstract":"Slip lengths reported from molecular dynamics (MD) simulations of water flow in graphene nanochannels show significant scatter in the literature. These discrepancies are in part due to the used water models. We demonstrate self-consistent comparisons of slip characteristics between the SPC, SPC/E, SPC/Fw, TIP3P, TIP4P, and TIP4P/2005 water models. The slip lengths are inferred using an analytical model that employs the shear viscosity of water and channel average velocities obtained from nonequilibrium MD simulations. First, viscosities for each water model are quantified using MD simulations of counterflowing, force-driven flows in periodic domains in the absence of physical walls. While the TIP4P/2005 model predicts water viscosity at the specified thermodynamic state with 1.7% error, the predictions of SPC/Fw and SPC/E models exhibit 13.9% and 23.1% deviations, respectively. Water viscosities obtained from SPC, TIP4P, and TIP3P models show larger deviations. Next, force-driven water flows in rigid (cold) and thermally vibrating (thermal) graphene nanochannels are simulated, resulting in pluglike velocity profiles. Large differences in the flow velocities are observed depending on the used water model and to a lesser extent on the choice of rigid vs thermal walls. Depending on the water model, the slip length of water on cold graphene walls varied between 34.2 nm and 62.9 nm, while the slip lengths of water on thermal graphene walls varied in the range of 38.1 nm-84.3 nm.","publication_date":{"day":7,"month":11,"year":2019,"errors":{}},"publication_name":"Journal of Chemical Physics","grobid_abstract_attachment_id":112271395},"translated_abstract":null,"internal_url":"https://www.academia.edu/116026258/The_role_of_water_models_on_the_prediction_of_slip_length_of_water_in_graphene_nanochannels","translated_internal_url":"","created_at":"2024-03-09T22:50:57.800-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":103082674,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":112271395,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/112271395/thumbnails/1.jpg","file_name":"download.pdf","download_url":"https://www.academia.edu/attachments/112271395/download_file?st=MTczNDAzODQ1Myw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"The_role_of_water_models_on_the_predicti.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/112271395/download-libre.pdf?1710053829=\u0026response-content-disposition=attachment%3B+filename%3DThe_role_of_water_models_on_the_predicti.pdf\u0026Expires=1734042053\u0026Signature=Kt3r-cCqw37K9TGHahu0v82ZXI1N8fqKQ~ysRO~HoZyoe9rFz2ctWfDvgOh0KyNWKLYsjUqmYityeQKQy0oLzcrLz03sjC32b2ZAhYfD4Q-WeG1RiCM2mD50DPbgATqv1Neu~u8LKngwmMHelK-wv9Pd0H-c~iX305o~Xt5iSLvJ3w0f5eOVoAFr-C~75RJOJNxjqbu0ZXfnsZbO93~vwVgM2Bs05M7XCF84PjhTlwqMGo9P6UxIDWKtjRjHU1gFPLw3nioAMPHZjh~iYRG5QGpuCaBBAVy-Iyfy2TEZ2mJ5j5SOapbnESMusuj1ni9YAGE7Pv9AMlbmU~imsr~7Mg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"The_role_of_water_models_on_the_prediction_of_slip_length_of_water_in_graphene_nanochannels","translated_slug":"","page_count":12,"language":"en","content_type":"Work","summary":"Slip lengths reported from molecular dynamics (MD) simulations of water flow in graphene nanochannels show significant scatter in the literature. These discrepancies are in part due to the used water models. We demonstrate self-consistent comparisons of slip characteristics between the SPC, SPC/E, SPC/Fw, TIP3P, TIP4P, and TIP4P/2005 water models. The slip lengths are inferred using an analytical model that employs the shear viscosity of water and channel average velocities obtained from nonequilibrium MD simulations. First, viscosities for each water model are quantified using MD simulations of counterflowing, force-driven flows in periodic domains in the absence of physical walls. While the TIP4P/2005 model predicts water viscosity at the specified thermodynamic state with 1.7% error, the predictions of SPC/Fw and SPC/E models exhibit 13.9% and 23.1% deviations, respectively. Water viscosities obtained from SPC, TIP4P, and TIP3P models show larger deviations. Next, force-driven water flows in rigid (cold) and thermally vibrating (thermal) graphene nanochannels are simulated, resulting in pluglike velocity profiles. Large differences in the flow velocities are observed depending on the used water model and to a lesser extent on the choice of rigid vs thermal walls. Depending on the water model, the slip length of water on cold graphene walls varied between 34.2 nm and 62.9 nm, while the slip lengths of water on thermal graphene walls varied in the range of 38.1 nm-84.3 nm.","owner":{"id":103082674,"first_name":"Ali","middle_initials":null,"last_name":"Beskok","page_name":"ABeskok","domain_name":"smu","created_at":"2019-02-21T14:44:03.747-08:00","display_name":"Ali Beskok","url":"https://smu.academia.edu/ABeskok"},"attachments":[{"id":112271395,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/112271395/thumbnails/1.jpg","file_name":"download.pdf","download_url":"https://www.academia.edu/attachments/112271395/download_file?st=MTczNDAzODQ1Myw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"The_role_of_water_models_on_the_predicti.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/112271395/download-libre.pdf?1710053829=\u0026response-content-disposition=attachment%3B+filename%3DThe_role_of_water_models_on_the_predicti.pdf\u0026Expires=1734042053\u0026Signature=Kt3r-cCqw37K9TGHahu0v82ZXI1N8fqKQ~ysRO~HoZyoe9rFz2ctWfDvgOh0KyNWKLYsjUqmYityeQKQy0oLzcrLz03sjC32b2ZAhYfD4Q-WeG1RiCM2mD50DPbgATqv1Neu~u8LKngwmMHelK-wv9Pd0H-c~iX305o~Xt5iSLvJ3w0f5eOVoAFr-C~75RJOJNxjqbu0ZXfnsZbO93~vwVgM2Bs05M7XCF84PjhTlwqMGo9P6UxIDWKtjRjHU1gFPLw3nioAMPHZjh~iYRG5QGpuCaBBAVy-Iyfy2TEZ2mJ5j5SOapbnESMusuj1ni9YAGE7Pv9AMlbmU~imsr~7Mg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering"},{"id":511,"name":"Materials Science","url":"https://www.academia.edu/Documents/in/Materials_Science"},{"id":11541,"name":"Graphene","url":"https://www.academia.edu/Documents/in/Graphene"},{"id":22300,"name":"Chemical Physics","url":"https://www.academia.edu/Documents/in/Chemical_Physics"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":35638,"name":"Molecular Dynamics","url":"https://www.academia.edu/Documents/in/Molecular_Dynamics"},{"id":118582,"name":"Physical sciences","url":"https://www.academia.edu/Documents/in/Physical_sciences"},{"id":174347,"name":"Thermal","url":"https://www.academia.edu/Documents/in/Thermal"},{"id":260118,"name":"CHEMICAL SCIENCES","url":"https://www.academia.edu/Documents/in/CHEMICAL_SCIENCES"}],"urls":[{"id":40181207,"url":"https://doi.org/10.1063/1.5123713"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="116026256"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/116026256/Micro_Fluidic_Design_and_Fluid_Structure_Interaction_Analysis_of_a_Micro_Pump"><img alt="Research paper thumbnail of Micro-Fluidic Design and Fluid-Structure Interaction Analysis of a Micro-Pump" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/116026256/Micro_Fluidic_Design_and_Fluid_Structure_Interaction_Analysis_of_a_Micro_Pump">Micro-Fluidic Design and Fluid-Structure Interaction Analysis of a Micro-Pump</a></div><div class="wp-workCard_item"><span>Micro-Electro-Mechanical Systems (MEMS)</span><span>, Nov 15, 1998</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Conceptual design of a reversible micro-pump system is demonstrated by numerical simulations. Uns...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Conceptual design of a reversible micro-pump system is demonstrated by numerical simulations. Unsteady, incompressible Navier-Stokes equations in a moving boundary system are solved by ΝεκΤαr, a spectral element (high-order) algorithm employing an Arbitrary Lagrangian Eulerian (ALE) formulation on unstructured meshes. The performance of the micro-pump is evaluated as a function of the Reynolds number and the geometric parameters. The volumetric flowrate is shown to increase as a function of the Reynolds number. 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However, the efficiency of the micro-pump decreases with increased Reynolds number, due to the increased leakage effects.","owner":{"id":103082674,"first_name":"Ali","middle_initials":null,"last_name":"Beskok","page_name":"ABeskok","domain_name":"smu","created_at":"2019-02-21T14:44:03.747-08:00","display_name":"Ali Beskok","url":"https://smu.academia.edu/ABeskok"},"attachments":[],"research_interests":[{"id":512,"name":"Mechanics","url":"https://www.academia.edu/Documents/in/Mechanics"},{"id":852297,"name":"Fluidics","url":"https://www.academia.edu/Documents/in/Fluidics"},{"id":1008960,"name":"Reynolds Number","url":"https://www.academia.edu/Documents/in/Reynolds_Number"},{"id":2728759,"name":"Micro-Electro-Mechanical Systems (MEMS) technology","url":"https://www.academia.edu/Documents/in/Micro-Electro-Mechanical_Systems_MEMS_technology"}],"urls":[{"id":40181205,"url":"https://doi.org/10.1115/imece1998-1225"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="116026254"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/116026254/Flow_and_Species_Transport_Control_in_Grooved_Micro_Channels"><img alt="Research paper thumbnail of Flow and Species Transport Control in Grooved Micro-Channels" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/116026254/Flow_and_Species_Transport_Control_in_Grooved_Micro_Channels">Flow and Species Transport Control in Grooved Micro-Channels</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">We demonstrate flow control concepts in a grooved micro-channel using selectively patterned, elec...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">We demonstrate flow control concepts in a grooved micro-channel using selectively patterned, electroosmotically active surfaces and locally applied electric fields. This framework enables formation of rather complex flow patterns in simple micro-geometries. Ability to vary the electric field magnitude and its polarity also manifests time-dependent flow alterations, which results in flow and species transport control abilities. The results obtained in a single micro-groove constitute the proof of concept for flow and species transport ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="116026254"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="116026254"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 116026254; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=116026254]").text(description); $(".js-view-count[data-work-id=116026254]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 116026254; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='116026254']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 116026254, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=116026254]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":116026254,"title":"Flow and Species Transport Control in Grooved Micro-Channels","translated_title":"","metadata":{"abstract":"We demonstrate flow control concepts in a grooved micro-channel using selectively patterned, electroosmotically active surfaces and locally applied electric fields. 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The results obtained in a single micro-groove constitute the proof of concept for flow and species transport ...","internal_url":"https://www.academia.edu/116026254/Flow_and_Species_Transport_Control_in_Grooved_Micro_Channels","translated_internal_url":"","created_at":"2024-03-09T22:50:56.966-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":103082674,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Flow_and_Species_Transport_Control_in_Grooved_Micro_Channels","translated_slug":"","page_count":null,"language":"en","content_type":"Work","summary":"We demonstrate flow control concepts in a grooved micro-channel using selectively patterned, electroosmotically active surfaces and locally applied electric fields. This framework enables formation of rather complex flow patterns in simple micro-geometries. Ability to vary the electric field magnitude and its polarity also manifests time-dependent flow alterations, which results in flow and species transport control abilities. The results obtained in a single micro-groove constitute the proof of concept for flow and species transport ...","owner":{"id":103082674,"first_name":"Ali","middle_initials":null,"last_name":"Beskok","page_name":"ABeskok","domain_name":"smu","created_at":"2019-02-21T14:44:03.747-08:00","display_name":"Ali Beskok","url":"https://smu.academia.edu/ABeskok"},"attachments":[],"research_interests":[{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering"},{"id":512,"name":"Mechanics","url":"https://www.academia.edu/Documents/in/Mechanics"},{"id":523,"name":"Chemistry","url":"https://www.academia.edu/Documents/in/Chemistry"},{"id":23818,"name":"Microelectromechanical systems","url":"https://www.academia.edu/Documents/in/Microelectromechanical_systems"},{"id":80414,"name":"Mathematical Sciences","url":"https://www.academia.edu/Documents/in/Mathematical_Sciences"},{"id":118582,"name":"Physical sciences","url":"https://www.academia.edu/Documents/in/Physical_sciences"},{"id":1130559,"name":"Electric Field","url":"https://www.academia.edu/Documents/in/Electric_Field"},{"id":4130241,"name":"Control volume","url":"https://www.academia.edu/Documents/in/Control_volume"}],"urls":[{"id":40181203,"url":"https://doi.org/10.1115/imece2005-82111"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="116026252"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/116026252/DC_electrokinetic_motion_of_colloidal_cylinder_s_in_the_vicinity_of_a_conducting_wall"><img alt="Research paper thumbnail of DC‐electrokinetic motion of colloidal cylinder(s) in the vicinity of a conducting wall" class="work-thumbnail" src="https://attachments.academia-assets.com/112271394/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/116026252/DC_electrokinetic_motion_of_colloidal_cylinder_s_in_the_vicinity_of_a_conducting_wall">DC‐electrokinetic motion of colloidal cylinder(s) in the vicinity of a conducting wall</a></div><div class="wp-workCard_item"><span>ELECTROPHORESIS</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The boundary effects on DC‐electrokinetic behavior of colloidal cylinder(s) in the vicinity of a ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The boundary effects on DC‐electrokinetic behavior of colloidal cylinder(s) in the vicinity of a conducting wall is investigated through a computational model. The contribution of the hydrodynamic drag, gravity, electrokinetic (i.e., electrophoretic and dielectrophoretic), and colloidal forces (i.e., forces due to the electrical double layer and van der Waals interactions) are incorporated in the model. The contribution of electrokinetic and colloidal forces are included by introducing the resulting forces as an external force acting on the particle(s). The colloidal forces are implemented with the prescribed expressions from the literature, and the electrokinetic force is obtained by integrating the corresponding Maxwell stress tensor over the particles&#39; surfaces. The electrokinetic slip‐velocity together with the thin electrical double layer assumption is applied on the surfaces. The position and velocity of the particles and the resulting electric and flow fields are obtained...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="7de3f39bbadb069a8e9a612ca66d898f" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":112271394,"asset_id":116026252,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/112271394/download_file?st=MTczNDAzODQ1Myw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="116026252"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="116026252"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 116026252; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=116026252]").text(description); $(".js-view-count[data-work-id=116026252]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 116026252; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='116026252']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 116026252, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "7de3f39bbadb069a8e9a612ca66d898f" } } $('.js-work-strip[data-work-id=116026252]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":116026252,"title":"DC‐electrokinetic motion of colloidal cylinder(s) in the vicinity of a conducting wall","translated_title":"","metadata":{"abstract":"The boundary effects on DC‐electrokinetic behavior of colloidal cylinder(s) in the vicinity of a conducting wall is investigated through a computational model. The contribution of the hydrodynamic drag, gravity, electrokinetic (i.e., electrophoretic and dielectrophoretic), and colloidal forces (i.e., forces due to the electrical double layer and van der Waals interactions) are incorporated in the model. The contribution of electrokinetic and colloidal forces are included by introducing the resulting forces as an external force acting on the particle(s). The colloidal forces are implemented with the prescribed expressions from the literature, and the electrokinetic force is obtained by integrating the corresponding Maxwell stress tensor over the particles\u0026#39; surfaces. The electrokinetic slip‐velocity together with the thin electrical double layer assumption is applied on the surfaces. 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The electrokinetic slip‐velocity together with the thin electrical double layer assumption is applied on the surfaces. The position and velocity of the particles and the resulting electric and flow fields are obtained...","internal_url":"https://www.academia.edu/116026252/DC_electrokinetic_motion_of_colloidal_cylinder_s_in_the_vicinity_of_a_conducting_wall","translated_internal_url":"","created_at":"2024-03-09T22:50:56.408-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":103082674,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":112271394,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/112271394/thumbnails/1.jpg","file_name":"DC_electrokinetic_motion_of_colloidal_cylinder_in_the_vicinity_of_a_conducting_wall.pdf","download_url":"https://www.academia.edu/attachments/112271394/download_file?st=MTczNDAzODQ1Myw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"DC_electrokinetic_motion_of_colloidal_cy.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/112271394/DC_electrokinetic_motion_of_colloidal_cylinder_in_the_vicinity_of_a_conducting_wall-libre.pdf?1710053818=\u0026response-content-disposition=attachment%3B+filename%3DDC_electrokinetic_motion_of_colloidal_cy.pdf\u0026Expires=1734042053\u0026Signature=V9eD4k-3ISIpsfY5RqRvxOdNBjW11pzgEjzQSMRkPa0OfPXGdG2WBFpAmuMe4ccyTgB2P7c31sXK0bRawlQBumeV01uuuhzYk6iI416ZI-Ou1I8bS196RjAd8m4fAp8T5V~lDDhKAJypAuZizPneNZ9dwpBDm6Ae8MK3FjyuH2lk7tqJRdnXnki~kPEmNe6NlBBxSKAyuW9mJQtjhug7DMtLQlbINoDe697~cOzuwagob4ePt9eizIhUymCpw3Z5Yx9tq3QP5Q1x~U7u8Vypxjh85-2FzSykotCr2wp0oZSfu2-cZXDiq0mr2PpJ5jNspMXeDOGMop9qDW2XTVrfMg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"DC_electrokinetic_motion_of_colloidal_cylinder_s_in_the_vicinity_of_a_conducting_wall","translated_slug":"","page_count":13,"language":"en","content_type":"Work","summary":"The boundary effects on DC‐electrokinetic behavior of colloidal cylinder(s) in the vicinity of a conducting wall is investigated through a computational model. The contribution of the hydrodynamic drag, gravity, electrokinetic (i.e., electrophoretic and dielectrophoretic), and colloidal forces (i.e., forces due to the electrical double layer and van der Waals interactions) are incorporated in the model. The contribution of electrokinetic and colloidal forces are included by introducing the resulting forces as an external force acting on the particle(s). The colloidal forces are implemented with the prescribed expressions from the literature, and the electrokinetic force is obtained by integrating the corresponding Maxwell stress tensor over the particles\u0026#39; surfaces. The electrokinetic slip‐velocity together with the thin electrical double layer assumption is applied on the surfaces. 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The MHS is a single-phase, closed micro-fluidic system, which utilize time-periodic forced convection cooling. We verified the MHS concept by numerically simulating its operation under various conditions. Our parametric studies have shown that, unlike the steady laminar forced convection, the Nusselt number for time-periodic forced convection laminar flows have strong dependence on the Reynolds and Prandtl numbers. The increase in the Nusselt number indicates enhanced cooling capability of the MHS device. Based on our parametric studies, we calculated the optimum operation conditions, device dimensions and the maximum heat-dissipation rates.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="116026250"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="116026250"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 116026250; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=116026250]").text(description); $(".js-view-count[data-work-id=116026250]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 116026250; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='116026250']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 116026250, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=116026250]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":116026250,"title":"Time-Periodic Forced Convection in Micro Heat Spreaders","translated_title":"","metadata":{"abstract":"A new micro heat spreader (MHS) concept for efficient dissipation of large, concentrated heat loads is introduced. 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The MHS is a single-phase, closed micro-fluidic system, which utilize time-periodic forced convection cooling. We verified the MHS concept by numerically simulating its operation under various conditions. Our parametric studies have shown that, unlike the steady laminar forced convection, the Nusselt number for time-periodic forced convection laminar flows have strong dependence on the Reynolds and Prandtl numbers. The increase in the Nusselt number indicates enhanced cooling capability of the MHS device. Based on our parametric studies, we calculated the optimum operation conditions, device dimensions and the maximum heat-dissipation rates.","internal_url":"https://www.academia.edu/116026250/Time_Periodic_Forced_Convection_in_Micro_Heat_Spreaders","translated_internal_url":"","created_at":"2024-03-09T22:50:56.019-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":103082674,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Time_Periodic_Forced_Convection_in_Micro_Heat_Spreaders","translated_slug":"","page_count":null,"language":"en","content_type":"Work","summary":"A new micro heat spreader (MHS) concept for efficient dissipation of large, concentrated heat loads is introduced. The MHS is a single-phase, closed micro-fluidic system, which utilize time-periodic forced convection cooling. We verified the MHS concept by numerically simulating its operation under various conditions. Our parametric studies have shown that, unlike the steady laminar forced convection, the Nusselt number for time-periodic forced convection laminar flows have strong dependence on the Reynolds and Prandtl numbers. The increase in the Nusselt number indicates enhanced cooling capability of the MHS device. Based on our parametric studies, we calculated the optimum operation conditions, device dimensions and the maximum heat-dissipation rates.","owner":{"id":103082674,"first_name":"Ali","middle_initials":null,"last_name":"Beskok","page_name":"ABeskok","domain_name":"smu","created_at":"2019-02-21T14:44:03.747-08:00","display_name":"Ali Beskok","url":"https://smu.academia.edu/ABeskok"},"attachments":[],"research_interests":[{"id":1327,"name":"Convection","url":"https://www.academia.edu/Documents/in/Convection"},{"id":890685,"name":"Forced Convection","url":"https://www.academia.edu/Documents/in/Forced_Convection"},{"id":2728759,"name":"Micro-Electro-Mechanical Systems (MEMS) technology","url":"https://www.academia.edu/Documents/in/Micro-Electro-Mechanical_Systems_MEMS_technology"}],"urls":[{"id":40181199,"url":"https://asmedigitalcollection.asme.org/IMECE/proceedings-pdf/doi/10.1115/IMECE2000-1119/6787629/375_1_imece2000-1119.pdf"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="116026248"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/116026248/Professor_Satish_G_Kandlikar_on_His_70th_Birthday"><img alt="Research paper thumbnail of Professor Satish G. Kandlikar on His 70th Birthday" class="work-thumbnail" src="https://attachments.academia-assets.com/112271372/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/116026248/Professor_Satish_G_Kandlikar_on_His_70th_Birthday">Professor Satish G. Kandlikar on His 70th Birthday</a></div><div class="wp-workCard_item"><span>Journal of Thermal Science and Engineering Applications</span><span>, 2020</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">is one of the well-known names in the field of flow boiling. He was born in June 1950 in India. H...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">is one of the well-known names in the field of flow boiling. He was born in June 1950 in India. He received his B.S. in Mechanical Engineering from Marathawada University, India. He received his M.S. and Ph.D. degrees from the Department of Mechanical Engineering at the Indian Institute of Technology (IIT) in Mumbai, India. His supervisor was Prof. S. P. Sukhatme. After finishing his Ph.D. in 1975, Prof. Kandlikar became a faculty member in the Department of Mechanical Engineering at IIT before coming to Rochester Institute of Technology (RIT), in Rochester, New York, in 1980. Currently, he is the Gleason Professor of Mechanical Engineering in the Department of Mechanical Engineering, Rochester Institute of Technology. He was the founder of the RIT Thermal Analysis and Microfluidics Laboratory in 1990, which examines essential phenomena related to microscale fluid dynamics and mechanics. During his career at RIT, Prof. Kandlikar became involved in several activities. For instance, he founded the ASME Heat Transfer chapter in Rochester. He also founded and served as the first Chairman of the E-cubed fair-science and engineering fair for middle school students in celebration of Engineers Week.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3ddd6d888f4288ff444d896f4e9dd35e" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":112271372,"asset_id":116026248,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/112271372/download_file?st=MTczNDAzODQ1Myw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="116026248"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="116026248"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 116026248; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=116026248]").text(description); $(".js-view-count[data-work-id=116026248]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 116026248; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='116026248']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 116026248, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "3ddd6d888f4288ff444d896f4e9dd35e" } } $('.js-work-strip[data-work-id=116026248]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":116026248,"title":"Professor Satish G. Kandlikar on His 70th Birthday","translated_title":"","metadata":{"publisher":"ASME International","grobid_abstract":"is one of the well-known names in the field of flow boiling. He was born in June 1950 in India. He received his B.S. in Mechanical Engineering from Marathawada University, India. He received his M.S. and Ph.D. degrees from the Department of Mechanical Engineering at the Indian Institute of Technology (IIT) in Mumbai, India. His supervisor was Prof. S. P. Sukhatme. After finishing his Ph.D. in 1975, Prof. Kandlikar became a faculty member in the Department of Mechanical Engineering at IIT before coming to Rochester Institute of Technology (RIT), in Rochester, New York, in 1980. Currently, he is the Gleason Professor of Mechanical Engineering in the Department of Mechanical Engineering, Rochester Institute of Technology. He was the founder of the RIT Thermal Analysis and Microfluidics Laboratory in 1990, which examines essential phenomena related to microscale fluid dynamics and mechanics. During his career at RIT, Prof. Kandlikar became involved in several activities. For instance, he founded the ASME Heat Transfer chapter in Rochester. He also founded and served as the first Chairman of the E-cubed fair-science and engineering fair for middle school students in celebration of Engineers Week.","publication_date":{"day":null,"month":null,"year":2020,"errors":{}},"publication_name":"Journal of Thermal Science and Engineering Applications","grobid_abstract_attachment_id":112271372},"translated_abstract":null,"internal_url":"https://www.academia.edu/116026248/Professor_Satish_G_Kandlikar_on_His_70th_Birthday","translated_internal_url":"","created_at":"2024-03-09T22:50:55.569-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":103082674,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":112271372,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/112271372/thumbnails/1.jpg","file_name":"tsea_12_6_060301.pdf","download_url":"https://www.academia.edu/attachments/112271372/download_file?st=MTczNDAzODQ1Myw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Professor_Satish_G_Kandlikar_on_His_70th.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/112271372/tsea_12_6_060301-libre.pdf?1710053812=\u0026response-content-disposition=attachment%3B+filename%3DProfessor_Satish_G_Kandlikar_on_His_70th.pdf\u0026Expires=1734042053\u0026Signature=eZju~a12GLaLfkmxQWNy~Zi1Ix-3lZmv3HVNtY1VsvT7AjlNHgPRjWaF295FLbuzyDS-hzgs8VNh8JHLqvEMwAlaW3y5gLsBmHY~jiX6jWZU75AbuMXsP1xEcosxYzVkWXYjjLtizY6rXJBsiwtgG6VDRiI47wHNNbkOWmNi~-e0IlBrMUg6uGRO60JHTYLJevqxNReWq3CpVz17JIMuknS1S0iDymNIZljRhLfX1r~mZpWfh6LD2ulD58OOifeTKlDtAbU7IlFWqWcs7w6uN99pdwaKxsicnhRrMmswFlk~LFRinheSNfQqsVc-NRHN1oqe~JdvmiGUCjT2l2oxgA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Professor_Satish_G_Kandlikar_on_His_70th_Birthday","translated_slug":"","page_count":3,"language":"en","content_type":"Work","summary":"is one of the well-known names in the field of flow boiling. He was born in June 1950 in India. He received his B.S. in Mechanical Engineering from Marathawada University, India. He received his M.S. and Ph.D. degrees from the Department of Mechanical Engineering at the Indian Institute of Technology (IIT) in Mumbai, India. His supervisor was Prof. S. P. Sukhatme. After finishing his Ph.D. in 1975, Prof. Kandlikar became a faculty member in the Department of Mechanical Engineering at IIT before coming to Rochester Institute of Technology (RIT), in Rochester, New York, in 1980. Currently, he is the Gleason Professor of Mechanical Engineering in the Department of Mechanical Engineering, Rochester Institute of Technology. He was the founder of the RIT Thermal Analysis and Microfluidics Laboratory in 1990, which examines essential phenomena related to microscale fluid dynamics and mechanics. During his career at RIT, Prof. Kandlikar became involved in several activities. For instance, he founded the ASME Heat Transfer chapter in Rochester. He also founded and served as the first Chairman of the E-cubed fair-science and engineering fair for middle school students in celebration of Engineers Week.","owner":{"id":103082674,"first_name":"Ali","middle_initials":null,"last_name":"Beskok","page_name":"ABeskok","domain_name":"smu","created_at":"2019-02-21T14:44:03.747-08:00","display_name":"Ali Beskok","url":"https://smu.academia.edu/ABeskok"},"attachments":[{"id":112271372,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/112271372/thumbnails/1.jpg","file_name":"tsea_12_6_060301.pdf","download_url":"https://www.academia.edu/attachments/112271372/download_file?st=MTczNDAzODQ1Myw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Professor_Satish_G_Kandlikar_on_His_70th.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/112271372/tsea_12_6_060301-libre.pdf?1710053812=\u0026response-content-disposition=attachment%3B+filename%3DProfessor_Satish_G_Kandlikar_on_His_70th.pdf\u0026Expires=1734042053\u0026Signature=eZju~a12GLaLfkmxQWNy~Zi1Ix-3lZmv3HVNtY1VsvT7AjlNHgPRjWaF295FLbuzyDS-hzgs8VNh8JHLqvEMwAlaW3y5gLsBmHY~jiX6jWZU75AbuMXsP1xEcosxYzVkWXYjjLtizY6rXJBsiwtgG6VDRiI47wHNNbkOWmNi~-e0IlBrMUg6uGRO60JHTYLJevqxNReWq3CpVz17JIMuknS1S0iDymNIZljRhLfX1r~mZpWfh6LD2ulD58OOifeTKlDtAbU7IlFWqWcs7w6uN99pdwaKxsicnhRrMmswFlk~LFRinheSNfQqsVc-NRHN1oqe~JdvmiGUCjT2l2oxgA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":112271373,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/112271373/thumbnails/1.jpg","file_name":"tsea_12_6_060301.pdf","download_url":"https://www.academia.edu/attachments/112271373/download_file","bulk_download_file_name":"Professor_Satish_G_Kandlikar_on_His_70th.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/112271373/tsea_12_6_060301-libre.pdf?1710053810=\u0026response-content-disposition=attachment%3B+filename%3DProfessor_Satish_G_Kandlikar_on_His_70th.pdf\u0026Expires=1734042053\u0026Signature=Shc6RsumOCYX09bR0afsdU6-kUqBNvqJnBPIGfJXFiJ6kE~5LKREbb1PVPl2b5FI8T4eFflmJQX1hk61PXl5iKs~7Jlr90GX1zhiIiwcc6tZTe2y5vUd046e0axDES-6t~CzeyzUhf9J3aS2FYWDJpXAJZUSQjzVQLC2rDetr0IV0pADIQTX98vwMByBqDuIGWAMxE-rroHbVIj6n3obf9aQKdW3eaMow70FjUeU4wbJZAX2xcIFQYgIoQYX5YxXVN7x0GxYKSPY61JtAyxwxVwlfetnVPJ8XQJH51wqL4QINryQYJ2a94Bw63rrqLB1w-HtWG3ELC-cWTB0z7GGig__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[{"id":40181197,"url":"http://asmedigitalcollection.asme.org/thermalscienceapplication/article-pdf/doi/10.1115/1.4048813/6599013/tsea_12_6_060301.pdf"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="116026246"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/116026246/Interface_Resistance_and_Thermal_Transport_in_Nano_Confined_Liquids"><img alt="Research paper thumbnail of Interface Resistance and Thermal Transport in Nano-Confined Liquids" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/116026246/Interface_Resistance_and_Thermal_Transport_in_Nano_Confined_Liquids">Interface Resistance and Thermal Transport in Nano-Confined Liquids</a></div><div class="wp-workCard_item"><span>Analysis, Design, and Application</span><span>, 2016</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Miniaturization of microelectronic device components and the development of nano– electro– mechan...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Miniaturization of microelectronic device components and the development of nano– electro– mechanical systems require advanced understanding of thermal transport in nano-materials and devices, where the atomic nature of matter becomes important and the validity of well-known continuum approximations becomes questionable [1]. In the case of semiconductors and insulators, heat is carried primarily by vibrations in the crystal lattice known as phonons. Phonon transport is classically studied by lattice dynamics based on harmonic wave theory in the frequency space. However, the anharmonic behaviors forming in a crystal structure cannot be described with this theory. Alternatively, the coupled motions of the atoms in real space can be modeled by molecular dynamics (MD), which provides the natural formation and transport of phonons via vibrations in the crystal lattice. Hence, MD has been widely employed to model phonon transfer in nanostructures and channels [2,3]. The performance and reliability of aforementioned devices strongly depend on the removal of heat either to the ambient or to a coolant. In such cases, phonon transport observed at the interfaces of nanoscale device components and surrounding/confined fluid, or at the interfaces of suspended nanoparticles and fluid medium in nano-fluidic coolants plays a critical role. At such interfaces, heat transfer is interrupted with a temperature jump due to the deficiency in overlap between phonon dispersions of dissimilar materials. Classical theories considering specular or diffuse phonon scattering predict the upper or lower limits of interface thermal resistance (ITR), while a detailed investigation of intermolecular interactions is needed to resolve interface phonon scattering mechanisms. In this chapter, we present interface phonon transfer at the molecular level, and investigate the validity of continuum hypothesis and Fourier’s law in nano-channels. First, we focus on the conventional ways of using MD for heat transport problems. Most of the previous MD research sandwiched a liquid domain between two solid walls and induced heat flux by fixing the wall CONTENTS</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="116026246"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="116026246"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 116026246; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=116026246]").text(description); $(".js-view-count[data-work-id=116026246]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 116026246; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='116026246']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 116026246, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=116026246]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":116026246,"title":"Interface Resistance and Thermal Transport in Nano-Confined Liquids","translated_title":"","metadata":{"abstract":"Miniaturization of microelectronic device components and the development of nano– electro– mechanical systems require advanced understanding of thermal transport in nano-materials and devices, where the atomic nature of matter becomes important and the validity of well-known continuum approximations becomes questionable [1]. 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In such cases, phonon transport observed at the interfaces of nanoscale device components and surrounding/confined fluid, or at the interfaces of suspended nanoparticles and fluid medium in nano-fluidic coolants plays a critical role. At such interfaces, heat transfer is interrupted with a temperature jump due to the deficiency in overlap between phonon dispersions of dissimilar materials. Classical theories considering specular or diffuse phonon scattering predict the upper or lower limits of interface thermal resistance (ITR), while a detailed investigation of intermolecular interactions is needed to resolve interface phonon scattering mechanisms. In this chapter, we present interface phonon transfer at the molecular level, and investigate the validity of continuum hypothesis and Fourier’s law in nano-channels. First, we focus on the conventional ways of using MD for heat transport problems. 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In the case of semiconductors and insulators, heat is carried primarily by vibrations in the crystal lattice known as phonons. Phonon transport is classically studied by lattice dynamics based on harmonic wave theory in the frequency space. However, the anharmonic behaviors forming in a crystal structure cannot be described with this theory. Alternatively, the coupled motions of the atoms in real space can be modeled by molecular dynamics (MD), which provides the natural formation and transport of phonons via vibrations in the crystal lattice. Hence, MD has been widely employed to model phonon transfer in nanostructures and channels [2,3]. The performance and reliability of aforementioned devices strongly depend on the removal of heat either to the ambient or to a coolant. 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</script> <div class="js-work-strip profile--work_container" data-work-id="116026244"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/116026244/Molecular_Based_Microfluidic_Simulation_Models"><img alt="Research paper thumbnail of Molecular-Based Microfluidic Simulation Models" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/116026244/Molecular_Based_Microfluidic_Simulation_Models">Molecular-Based Microfluidic Simulation Models</a></div><div class="wp-workCard_item"><span>Mechanical Engineering Series</span><span>, 2001</span></div><div class="wp-workCard_item 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class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/116026231/Charged_nanoporous_graphene_membranes_for_water_desalination">Charged nanoporous graphene membranes for water desalination</a></div><div class="wp-workCard_item"><span>Physical Chemistry Chemical Physics</span><span>, 2019</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Water desalination using positively and negatively charged single-layer nanoporous graphene membr...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Water desalination using positively and negatively charged single-layer nanoporous graphene membranes.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="1befb1170f57d415b55a8583b95fe8a7" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":112271369,"asset_id":116026231,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/112271369/download_file?st=MTczNDAzODQ1Myw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="116026231"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div 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{"id":116026231,"title":"Charged nanoporous graphene membranes for water desalination","translated_title":"","metadata":{"abstract":"Water desalination using positively and negatively charged single-layer nanoporous graphene membranes.","publisher":"Royal Society of Chemistry (RSC)","publication_date":{"day":null,"month":null,"year":2019,"errors":{}},"publication_name":"Physical Chemistry Chemical Physics"},"translated_abstract":"Water desalination using positively and negatively charged single-layer nanoporous graphene 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desalination using positively and negatively charged single-layer nanoporous graphene membranes.","owner":{"id":103082674,"first_name":"Ali","middle_initials":null,"last_name":"Beskok","page_name":"ABeskok","domain_name":"smu","created_at":"2019-02-21T14:44:03.747-08:00","display_name":"Ali 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Engineering","url":"https://www.academia.edu/Documents/in/Chemical_Engineering"},{"id":511,"name":"Materials Science","url":"https://www.academia.edu/Documents/in/Materials_Science"},{"id":11541,"name":"Graphene","url":"https://www.academia.edu/Documents/in/Graphene"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":53158,"name":"Desalination","url":"https://www.academia.edu/Documents/in/Desalination"},{"id":84131,"name":"Water Desalination","url":"https://www.academia.edu/Documents/in/Water_Desalination"},{"id":87336,"name":"Nanoporous","url":"https://www.academia.edu/Documents/in/Nanoporous"},{"id":118582,"name":"Physical sciences","url":"https://www.academia.edu/Documents/in/Physical_sciences"},{"id":242298,"name":"Membrane","url":"https://www.academia.edu/Documents/in/Membrane"},{"id":260118,"name":"CHEMICAL SCIENCES","url":"https://www.academia.edu/Documents/in/CHEMICAL_SCIENCES"},{"id":2620537,"name":"Physical chemistry and chemical 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wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/111910236/Self_Similar_Response_of_Electrode_Polarization_for_Binary_Electrolytes_in_Parallel_Plate_Capacitor_Systems">Self-Similar Response of Electrode Polarization for Binary Electrolytes in Parallel Plate Capacitor Systems</a></div><div class="wp-workCard_item"><span>Analytical Chemistry</span><span>, Aug 5, 2019</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Classical electrochemistry problem of polarization of an electrode immersed in a symmetric binary...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Classical electrochemistry problem of polarization of an electrode immersed in a symmetric binary electrolyte and subjected to a small external AC voltage is revisited. The Nernst-Planck equations are simplified to Debye-Falkenhagen equation, which is solved together with the Poisson equation, leading to analytical formulas for the space charge density and impedance of the system for two parallel plate electrodes. We then define a limit of thin electrical double layer and illustrate the emergence of the characteristic time scale, , a function of the Debye length, , the electrode separation distance, = , and the ionic diffusion coefficient. Normalizing the impedance magnitude with the solution resistance, and making the frequency dimensionless with the , we show that all analytical, numerical, and experimental data for different solution conductivities and electrode separation distances collapse onto a singlel curve. To account for the Stern layer effects, we conducted numerical simulations based on the modified Poisson-Nernst-Planck model and showed that the results agree with our analytical solution for a range of concentrations, with small discrepancies observed only above 0.1 M. Based on the proposed model, experimental impedance spectroscopy results at AC potentials can be used to obtain detailed knowledge of the corresponding surface (and space) charge densities on the electrodes.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="37765b25a7918c3e7b310530b83a8d34" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":109304049,"asset_id":111910236,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/109304049/download_file?st=MTczNDAzODQ1Myw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="111910236"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="111910236"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 111910236; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=111910236]").text(description); $(".js-view-count[data-work-id=111910236]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 111910236; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='111910236']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 111910236, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "37765b25a7918c3e7b310530b83a8d34" } } $('.js-work-strip[data-work-id=111910236]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":111910236,"title":"Self-Similar Response of Electrode Polarization for Binary Electrolytes in Parallel Plate Capacitor Systems","translated_title":"","metadata":{"publisher":"American Chemical Society","grobid_abstract":"Classical electrochemistry problem of polarization of an electrode immersed in a symmetric binary electrolyte and subjected to a small external AC voltage is revisited. The Nernst-Planck equations are simplified to Debye-Falkenhagen equation, which is solved together with the Poisson equation, leading to analytical formulas for the space charge density and impedance of the system for two parallel plate electrodes. We then define a limit of thin electrical double layer and illustrate the emergence of the characteristic time scale, , a function of the Debye length, , the electrode separation distance, = , and the ionic diffusion coefficient. Normalizing the impedance magnitude with the solution resistance, and making the frequency dimensionless with the , we show that all analytical, numerical, and experimental data for different solution conductivities and electrode separation distances collapse onto a singlel curve. To account for the Stern layer effects, we conducted numerical simulations based on the modified Poisson-Nernst-Planck model and showed that the results agree with our analytical solution for a range of concentrations, with small discrepancies observed only above 0.1 M. Based on the proposed model, experimental impedance spectroscopy results at AC potentials can be used to obtain detailed knowledge of the corresponding surface (and space) charge densities on the electrodes.","publication_date":{"day":5,"month":8,"year":2019,"errors":{}},"publication_name":"Analytical Chemistry","grobid_abstract_attachment_id":109304049},"translated_abstract":null,"internal_url":"https://www.academia.edu/111910236/Self_Similar_Response_of_Electrode_Polarization_for_Binary_Electrolytes_in_Parallel_Plate_Capacitor_Systems","translated_internal_url":"","created_at":"2023-12-20T05:35:44.068-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":103082674,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":109304049,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/109304049/thumbnails/1.jpg","file_name":"acs.analchem.9b0216220231220-1-j3v9wf.pdf","download_url":"https://www.academia.edu/attachments/109304049/download_file?st=MTczNDAzODQ1Myw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Self_Similar_Response_of_Electrode_Polar.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/109304049/acs.analchem.9b0216220231220-1-j3v9wf-libre.pdf?1703079930=\u0026response-content-disposition=attachment%3B+filename%3DSelf_Similar_Response_of_Electrode_Polar.pdf\u0026Expires=1734042053\u0026Signature=HvAHh8apkB~RAG18hyELiPSGOwK3xvYmatvuY2nghn4DOL8wyrZxFGF5GV-F-r3w~eUXjuJJncZwGPH5vmFpa4DR8hhH4j6pgrcznt1u16sX9PJIlRgXPoGa3XFyCKwz9hln2mdvxe2-oAaS0Id2y4ItPJwMjxMhT9bBZddJMzUw3spFQ1svM5tmNhSwjG1CpxukaUAVfDDWJyQNWOdIPW-pjKgWbX~sK8t5W8m7LWGE2DZ7NI~RYaT7u0KZqe1sd93~QE9UtE3QVqsjpILQSn4w3TbB9CqjhdG8YFcxmXXwPnSW5TixpZEFFYisGBOlufc2dgtlX4YBQM3DoDFrNg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Self_Similar_Response_of_Electrode_Polarization_for_Binary_Electrolytes_in_Parallel_Plate_Capacitor_Systems","translated_slug":"","page_count":29,"language":"en","content_type":"Work","summary":"Classical electrochemistry problem of polarization of an electrode immersed in a symmetric binary electrolyte and subjected to a small external AC voltage is revisited. The Nernst-Planck equations are simplified to Debye-Falkenhagen equation, which is solved together with the Poisson equation, leading to analytical formulas for the space charge density and impedance of the system for two parallel plate electrodes. We then define a limit of thin electrical double layer and illustrate the emergence of the characteristic time scale, , a function of the Debye length, , the electrode separation distance, = , and the ionic diffusion coefficient. Normalizing the impedance magnitude with the solution resistance, and making the frequency dimensionless with the , we show that all analytical, numerical, and experimental data for different solution conductivities and electrode separation distances collapse onto a singlel curve. To account for the Stern layer effects, we conducted numerical simulations based on the modified Poisson-Nernst-Planck model and showed that the results agree with our analytical solution for a range of concentrations, with small discrepancies observed only above 0.1 M. Based on the proposed model, experimental impedance spectroscopy results at AC potentials can be used to obtain detailed knowledge of the corresponding surface (and space) charge densities on the electrodes.","owner":{"id":103082674,"first_name":"Ali","middle_initials":null,"last_name":"Beskok","page_name":"ABeskok","domain_name":"smu","created_at":"2019-02-21T14:44:03.747-08:00","display_name":"Ali Beskok","url":"https://smu.academia.edu/ABeskok"},"attachments":[{"id":109304049,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/109304049/thumbnails/1.jpg","file_name":"acs.analchem.9b0216220231220-1-j3v9wf.pdf","download_url":"https://www.academia.edu/attachments/109304049/download_file?st=MTczNDAzODQ1Myw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Self_Similar_Response_of_Electrode_Polar.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/109304049/acs.analchem.9b0216220231220-1-j3v9wf-libre.pdf?1703079930=\u0026response-content-disposition=attachment%3B+filename%3DSelf_Similar_Response_of_Electrode_Polar.pdf\u0026Expires=1734042053\u0026Signature=HvAHh8apkB~RAG18hyELiPSGOwK3xvYmatvuY2nghn4DOL8wyrZxFGF5GV-F-r3w~eUXjuJJncZwGPH5vmFpa4DR8hhH4j6pgrcznt1u16sX9PJIlRgXPoGa3XFyCKwz9hln2mdvxe2-oAaS0Id2y4ItPJwMjxMhT9bBZddJMzUw3spFQ1svM5tmNhSwjG1CpxukaUAVfDDWJyQNWOdIPW-pjKgWbX~sK8t5W8m7LWGE2DZ7NI~RYaT7u0KZqe1sd93~QE9UtE3QVqsjpILQSn4w3TbB9CqjhdG8YFcxmXXwPnSW5TixpZEFFYisGBOlufc2dgtlX4YBQM3DoDFrNg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":72,"name":"Chemical Engineering","url":"https://www.academia.edu/Documents/in/Chemical_Engineering"},{"id":523,"name":"Chemistry","url":"https://www.academia.edu/Documents/in/Chemistry"},{"id":524,"name":"Analytical Chemistry","url":"https://www.academia.edu/Documents/in/Analytical_Chemistry"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":99790,"name":"Dielectric Spectroscopy","url":"https://www.academia.edu/Documents/in/Dielectric_Spectroscopy"},{"id":1276642,"name":"Electrolyte","url":"https://www.academia.edu/Documents/in/Electrolyte"},{"id":1746947,"name":"Nernst Equation","url":"https://www.academia.edu/Documents/in/Nernst_Equation"}],"urls":[{"id":37452637,"url":"https://doi.org/10.1021/acs.analchem.9b02162"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="111910235"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/111910235/Rapid_and_Sensitive_Detection_of_Nanomolecules_by_an_AC_Electrothermal_Flow_Facilitated_Impedance_Immunosensor"><img alt="Research paper thumbnail of Rapid and Sensitive Detection of Nanomolecules by an AC Electrothermal Flow Facilitated Impedance Immunosensor" class="work-thumbnail" src="https://attachments.academia-assets.com/109303971/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/111910235/Rapid_and_Sensitive_Detection_of_Nanomolecules_by_an_AC_Electrothermal_Flow_Facilitated_Impedance_Immunosensor">Rapid and Sensitive Detection of Nanomolecules by an AC Electrothermal Flow Facilitated Impedance Immunosensor</a></div><div class="wp-workCard_item"><span>Analytical Chemistry</span><span>, May 4, 2020</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Conventional immunosensors typically rely on passive diffusion dominated transport of analytes fo...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Conventional immunosensors typically rely on passive diffusion dominated transport of analytes for binding reaction and hence, it is limited by low sensitivity and long detection times. We report a simple and efficient impedance sensing method that can be utilized to overcome both sensitivity and diffusion limitations of immunosensors. This method incorporates the structural advantage of nanorod-covered interdigitated electrodes and the microstirring effect of AC electrothermal flow (ACET) with impedance spectroscopy. ACET flow induced by a biased AC electric field can rapidly convect the analyte onto nanorod structured electrodes within a few seconds and enriches the number of binding molecules because of excessive effective surface area. We performed numerical simulations to investigate the effect of ACET flow on the biosensor performance. The results indicated that AC bias to the side electrodes could induce fast convective flow, which facilitates the transport of the target molecules to the binding region located in the middle as a floating electrode. The temperature rise due to the Joule heating effect was measured using a thermoreflectance imaging method to find the optimum device operation conditions. The change of impedance caused by the receptors-target molecules binding at the sample/electrode interface was experimentally measured and quantified in real-time using the impedance spectroscopy technique. We observed that the impedance sensing method exhibited extremely fast response compared with those under no bias conditions. The measured impedance change can reach saturation in a minute. Compared to the conventional incubation method, the ACET flow enhanced method is faster in its reaction time, and the detection limit can be reduced to 1 ng/ml. In this work, we demonstrate that this sensor technology is promising and reliable for rapid, sensitive, and real-time monitoring biomolecules in biologically relevant media such as blood, urine, and saliva.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="ce611c41ff61091767e46c059b20b71e" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":109303971,"asset_id":111910235,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/109303971/download_file?st=MTczNDAzODQ1Myw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="111910235"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="111910235"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 111910235; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=111910235]").text(description); $(".js-view-count[data-work-id=111910235]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 111910235; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='111910235']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 111910235, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "ce611c41ff61091767e46c059b20b71e" } } $('.js-work-strip[data-work-id=111910235]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":111910235,"title":"Rapid and Sensitive Detection of Nanomolecules by an AC Electrothermal Flow Facilitated Impedance Immunosensor","translated_title":"","metadata":{"publisher":"American Chemical Society","grobid_abstract":"Conventional immunosensors typically rely on passive diffusion dominated transport of analytes for binding reaction and hence, it is limited by low sensitivity and long detection times. 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The temperature rise due to the Joule heating effect was measured using a thermoreflectance imaging method to find the optimum device operation conditions. The change of impedance caused by the receptors-target molecules binding at the sample/electrode interface was experimentally measured and quantified in real-time using the impedance spectroscopy technique. We observed that the impedance sensing method exhibited extremely fast response compared with those under no bias conditions. The measured impedance change can reach saturation in a minute. Compared to the conventional incubation method, the ACET flow enhanced method is faster in its reaction time, and the detection limit can be reduced to 1 ng/ml. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="111910234"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/111910234/Surface_Wettability_Effects_on_Evaporating_Meniscus_in_Nanochannels"><img alt="Research paper thumbnail of Surface Wettability Effects on Evaporating Meniscus in Nanochannels" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/111910234/Surface_Wettability_Effects_on_Evaporating_Meniscus_in_Nanochannels">Surface Wettability Effects on Evaporating Meniscus in Nanochannels</a></div><div class="wp-workCard_item"><span>Social Science Research Network</span><span>, 2022</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="111910234"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="111910234"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 111910234; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="116026271"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/116026271/Numerical_Simulation_of_Gas_Flows_in_Micro_Filters"><img alt="Research paper thumbnail of Numerical Simulation of Gas Flows in Micro-Filters" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/116026271/Numerical_Simulation_of_Gas_Flows_in_Micro_Filters">Numerical Simulation of Gas Flows in Micro-Filters</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Gas flows through micro-filters are simulated in the continuum and slip flow regimes as a functio...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Gas flows through micro-filters are simulated in the continuum and slip flow regimes as a function of the Knudsen, Reynolds and Mach numbers. The numerical simulations are based on the spectral element formulation of compressible Navier-Stokes equations, which utilize previously developed high-order velocity slip and temperature jump boundary conditions. Both slip and no-slip simulations are used to identify the rarefaction effects. The simulation results show skin friction and form-drag reduction with increased Knudsen number. Pressure drops across the filters are compared against several empirical scaling laws, available in the literature. Compressibility becomes important for high-speed flows, creating large density fluctuations across the micro-filter elements. For high Mach number flows, interactions between thermal and kinetic energies of the fluid are observed. It is also shown that viscous heating plays a significant role for highspeed gas flows, impacting heat transfer characteristics of micro-filters.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="116026271"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="116026271"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 116026271; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=116026271]").text(description); $(".js-view-count[data-work-id=116026271]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 116026271; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='116026271']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 116026271, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=116026271]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":116026271,"title":"Numerical Simulation of Gas Flows in Micro-Filters","translated_title":"","metadata":{"abstract":"Gas flows through micro-filters are simulated in the continuum and slip flow regimes as a function of the Knudsen, Reynolds and Mach numbers. The numerical simulations are based on the spectral element formulation of compressible Navier-Stokes equations, which utilize previously developed high-order velocity slip and temperature jump boundary conditions. Both slip and no-slip simulations are used to identify the rarefaction effects. The simulation results show skin friction and form-drag reduction with increased Knudsen number. Pressure drops across the filters are compared against several empirical scaling laws, available in the literature. Compressibility becomes important for high-speed flows, creating large density fluctuations across the micro-filter elements. For high Mach number flows, interactions between thermal and kinetic energies of the fluid are observed. It is also shown that viscous heating plays a significant role for highspeed gas flows, impacting heat transfer characteristics of micro-filters.","publication_date":{"day":11,"month":11,"year":2001,"errors":{}}},"translated_abstract":"Gas flows through micro-filters are simulated in the continuum and slip flow regimes as a function of the Knudsen, Reynolds and Mach numbers. The numerical simulations are based on the spectral element formulation of compressible Navier-Stokes equations, which utilize previously developed high-order velocity slip and temperature jump boundary conditions. Both slip and no-slip simulations are used to identify the rarefaction effects. The simulation results show skin friction and form-drag reduction with increased Knudsen number. Pressure drops across the filters are compared against several empirical scaling laws, available in the literature. Compressibility becomes important for high-speed flows, creating large density fluctuations across the micro-filter elements. For high Mach number flows, interactions between thermal and kinetic energies of the fluid are observed. It is also shown that viscous heating plays a significant role for highspeed gas flows, impacting heat transfer characteristics of micro-filters.","internal_url":"https://www.academia.edu/116026271/Numerical_Simulation_of_Gas_Flows_in_Micro_Filters","translated_internal_url":"","created_at":"2024-03-09T22:51:00.195-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":103082674,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Numerical_Simulation_of_Gas_Flows_in_Micro_Filters","translated_slug":"","page_count":null,"language":"en","content_type":"Work","summary":"Gas flows through micro-filters are simulated in the continuum and slip flow regimes as a function of the Knudsen, Reynolds and Mach numbers. The numerical simulations are based on the spectral element formulation of compressible Navier-Stokes equations, which utilize previously developed high-order velocity slip and temperature jump boundary conditions. Both slip and no-slip simulations are used to identify the rarefaction effects. The simulation results show skin friction and form-drag reduction with increased Knudsen number. Pressure drops across the filters are compared against several empirical scaling laws, available in the literature. Compressibility becomes important for high-speed flows, creating large density fluctuations across the micro-filter elements. For high Mach number flows, interactions between thermal and kinetic energies of the fluid are observed. It is also shown that viscous heating plays a significant role for highspeed gas flows, impacting heat transfer characteristics of micro-filters.","owner":{"id":103082674,"first_name":"Ali","middle_initials":null,"last_name":"Beskok","page_name":"ABeskok","domain_name":"smu","created_at":"2019-02-21T14:44:03.747-08:00","display_name":"Ali Beskok","url":"https://smu.academia.edu/ABeskok"},"attachments":[],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science"},{"id":2728759,"name":"Micro-Electro-Mechanical Systems (MEMS) technology","url":"https://www.academia.edu/Documents/in/Micro-Electro-Mechanical_Systems_MEMS_technology"}],"urls":[{"id":40181219,"url":"https://doi.org/10.1115/imece2001/mems-23873"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="116026269"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/116026269/Effect_of_Velocity_Slip_in_Nanoscale_Electroosmotic_Flows_Molecular_and_Continuum_Transport_Perspectives"><img alt="Research paper thumbnail of Effect of Velocity-Slip in Nanoscale Electroosmotic Flows: Molecular and Continuum Transport Perspectives" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/116026269/Effect_of_Velocity_Slip_in_Nanoscale_Electroosmotic_Flows_Molecular_and_Continuum_Transport_Perspectives">Effect of Velocity-Slip in Nanoscale Electroosmotic Flows: Molecular and Continuum Transport Perspectives</a></div><div class="wp-workCard_item"><span>World Academy of Science, Engineering and Technology, International Journal of Mechanical and Mechatronics Engineering</span><span>, Jul 9, 2018</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="116026269"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="116026269"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 116026269; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="116026264"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/116026264/Perspectives_on_continuum_flow_models_for_force_driven_nano_channel_liquid_flows"><img alt="Research paper thumbnail of Perspectives on continuum flow models for force-driven nano-channel liquid flows" class="work-thumbnail" src="https://attachments.academia-assets.com/112271377/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/116026264/Perspectives_on_continuum_flow_models_for_force_driven_nano_channel_liquid_flows">Perspectives on continuum flow models for force-driven nano-channel liquid flows</a></div><div class="wp-workCard_item"><span>Bulletin of the American Physical Society</span><span>, Nov 20, 2017</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Submitted for the DFD17 Meeting of The American Physical Society Perspectives on continuum flow m...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Submitted for the DFD17 Meeting of The American Physical Society Perspectives on continuum flow models for force-driven nanochannel liquid flows ALI BESKOK, JAFAR GHORBANIAN, ALPER CELEBI, Southern Methodist University-A phenomenological continuum model is developed using systematic molecular dynamics (MD) simulations of force-driven liquid argon flows confined in gold nano-channels at a fixed thermodynamic state. Well known density layering near the walls leads to the definition of an effective channel height and a density deficit parameter. While the former defines the slip-plane, the latter parameter relates channel averaged density with the desired thermodynamic state value. Definitions of these new parameters require a single MD simulation performed for a specific liquid-solid pair at the desired thermodynamic state and used for calibration of model parameters. Combined with our observations of constant slip-length and kinematic viscosity, the model accurately predicts the velocity distribution and volumetric and mass flow rates for force-driven liquid flows in different height nano-channels. Model is verified for liquid argon flow at distinct thermodynamic states and using various argon-gold interaction strengths. Further verification is performed for water flow in silica and gold nano-channels, exhibiting slip lengths of 1.2 nm and 15.5 nm, respectively. Excellent agreements between the model and the MD simulations are reported for channel heights as small as 3 nm for various liquid-solid pairs.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="19cd4efdec73625ceb6fac0075c1f13e" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":112271377,"asset_id":116026264,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/112271377/download_file?st=MTczNDAzODQ1Myw4LjIyMi4yMDguMTQ2&st=MTczNDAzODQ1Myw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="116026264"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="116026264"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 116026264; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=116026264]").text(description); $(".js-view-count[data-work-id=116026264]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 116026264; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='116026264']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 116026264, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "19cd4efdec73625ceb6fac0075c1f13e" } } $('.js-work-strip[data-work-id=116026264]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":116026264,"title":"Perspectives on continuum flow models for force-driven nano-channel liquid flows","translated_title":"","metadata":{"publisher":"Cambridge University Press","grobid_abstract":"Submitted for the DFD17 Meeting of The American Physical Society Perspectives on continuum flow models for force-driven nanochannel liquid flows ALI BESKOK, JAFAR GHORBANIAN, ALPER CELEBI, Southern Methodist University-A phenomenological continuum model is developed using systematic molecular dynamics (MD) simulations of force-driven liquid argon flows confined in gold nano-channels at a fixed thermodynamic state. Well known density layering near the walls leads to the definition of an effective channel height and a density deficit parameter. While the former defines the slip-plane, the latter parameter relates channel averaged density with the desired thermodynamic state value. Definitions of these new parameters require a single MD simulation performed for a specific liquid-solid pair at the desired thermodynamic state and used for calibration of model parameters. Combined with our observations of constant slip-length and kinematic viscosity, the model accurately predicts the velocity distribution and volumetric and mass flow rates for force-driven liquid flows in different height nano-channels. Model is verified for liquid argon flow at distinct thermodynamic states and using various argon-gold interaction strengths. Further verification is performed for water flow in silica and gold nano-channels, exhibiting slip lengths of 1.2 nm and 15.5 nm, respectively. Excellent agreements between the model and the MD simulations are reported for channel heights as small as 3 nm for various liquid-solid pairs.","publication_date":{"day":20,"month":11,"year":2017,"errors":{}},"publication_name":"Bulletin of the American Physical Society","grobid_abstract_attachment_id":112271377},"translated_abstract":null,"internal_url":"https://www.academia.edu/116026264/Perspectives_on_continuum_flow_models_for_force_driven_nano_channel_liquid_flows","translated_internal_url":"","created_at":"2024-03-09T22:50:58.991-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":103082674,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":112271377,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/112271377/thumbnails/1.jpg","file_name":"MWS_DFD17-2017-000396.pdf","download_url":"https://www.academia.edu/attachments/112271377/download_file?st=MTczNDAzODQ1Myw4LjIyMi4yMDguMTQ2&st=MTczNDAzODQ1Myw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Perspectives_on_continuum_flow_models_fo.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/112271377/MWS_DFD17-2017-000396-libre.pdf?1710053808=\u0026response-content-disposition=attachment%3B+filename%3DPerspectives_on_continuum_flow_models_fo.pdf\u0026Expires=1734042053\u0026Signature=Fgj3QnlLdPSIE2rQoD7y3JoXdDbVlBkGIFIU96RHpJopC3aUAzozMEOvG6JtiThq00V~01vNvHWQbgTMRlygJfEnkLrH0esAo~jDGXUq~CL~h3MSN8qQsFV~0EW3u5O8U619bFfuj0zAoc3y331HJmjZdob7bZiXQ67NiroLQmsgxWAZl01GJvb3d4SkNLXCjOH2Mu3nE1zbnSbDw1zx4ICQBDBMGImbP5kjCsP-1c~JUerIkZzLvds1HgyY6CsA372CLWxxl63eOGEQfsGPZU5lg4aH5TJDLY~RKkw0Em~UGYEaqlvgQviEIttoVtN8mufq-fJ01DNfu7n557xu1g__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Perspectives_on_continuum_flow_models_for_force_driven_nano_channel_liquid_flows","translated_slug":"","page_count":1,"language":"en","content_type":"Work","summary":"Submitted for the DFD17 Meeting of The American Physical Society Perspectives on continuum flow models for force-driven nanochannel liquid flows ALI BESKOK, JAFAR GHORBANIAN, ALPER CELEBI, Southern Methodist University-A phenomenological continuum model is developed using systematic molecular dynamics (MD) simulations of force-driven liquid argon flows confined in gold nano-channels at a fixed thermodynamic state. Well known density layering near the walls leads to the definition of an effective channel height and a density deficit parameter. While the former defines the slip-plane, the latter parameter relates channel averaged density with the desired thermodynamic state value. Definitions of these new parameters require a single MD simulation performed for a specific liquid-solid pair at the desired thermodynamic state and used for calibration of model parameters. Combined with our observations of constant slip-length and kinematic viscosity, the model accurately predicts the velocity distribution and volumetric and mass flow rates for force-driven liquid flows in different height nano-channels. Model is verified for liquid argon flow at distinct thermodynamic states and using various argon-gold interaction strengths. Further verification is performed for water flow in silica and gold nano-channels, exhibiting slip lengths of 1.2 nm and 15.5 nm, respectively. Excellent agreements between the model and the MD simulations are reported for channel heights as small as 3 nm for various liquid-solid pairs.","owner":{"id":103082674,"first_name":"Ali","middle_initials":null,"last_name":"Beskok","page_name":"ABeskok","domain_name":"smu","created_at":"2019-02-21T14:44:03.747-08:00","display_name":"Ali Beskok","url":"https://smu.academia.edu/ABeskok"},"attachments":[{"id":112271377,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/112271377/thumbnails/1.jpg","file_name":"MWS_DFD17-2017-000396.pdf","download_url":"https://www.academia.edu/attachments/112271377/download_file?st=MTczNDAzODQ1Myw4LjIyMi4yMDguMTQ2&st=MTczNDAzODQ1Myw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Perspectives_on_continuum_flow_models_fo.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/112271377/MWS_DFD17-2017-000396-libre.pdf?1710053808=\u0026response-content-disposition=attachment%3B+filename%3DPerspectives_on_continuum_flow_models_fo.pdf\u0026Expires=1734042053\u0026Signature=Fgj3QnlLdPSIE2rQoD7y3JoXdDbVlBkGIFIU96RHpJopC3aUAzozMEOvG6JtiThq00V~01vNvHWQbgTMRlygJfEnkLrH0esAo~jDGXUq~CL~h3MSN8qQsFV~0EW3u5O8U619bFfuj0zAoc3y331HJmjZdob7bZiXQ67NiroLQmsgxWAZl01GJvb3d4SkNLXCjOH2Mu3nE1zbnSbDw1zx4ICQBDBMGImbP5kjCsP-1c~JUerIkZzLvds1HgyY6CsA372CLWxxl63eOGEQfsGPZU5lg4aH5TJDLY~RKkw0Em~UGYEaqlvgQviEIttoVtN8mufq-fJ01DNfu7n557xu1g__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":112271376,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/112271376/thumbnails/1.jpg","file_name":"MWS_DFD17-2017-000396.pdf","download_url":"https://www.academia.edu/attachments/112271376/download_file","bulk_download_file_name":"Perspectives_on_continuum_flow_models_fo.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/112271376/MWS_DFD17-2017-000396-libre.pdf?1710053806=\u0026response-content-disposition=attachment%3B+filename%3DPerspectives_on_continuum_flow_models_fo.pdf\u0026Expires=1734042053\u0026Signature=UzUw-Yhn6CXdza7yBUrFTou4v5w1iXG4Iq-6lteqpHOGCb9sVHolsI-2-vDJwFs9UsmvGIeMgOokn48PJSBYPutm~sfBBUGEJPvEpOmEaoHpF5h7PRTHraLGQS1LgazYeHOEg62vwxZ6f8ogxplV1kWvH6evMkI9vGEaJLqzmO1KHlj1gQhZ6KZXrMqmevvDzQJdJNSJinf6NQ8pwXmnFxgFicjiRrT7CGXkI-b3sWV5r3LvoCqI6ETgdCPRpRxo8LZmfuspny8f3eWZaDNJvlsOkpKrG7zWN3XqWT4ee4dYjdPeh41dPdyJ4R-QG-9pbJIqSi6Yc~xbrIDkE-6Z7g__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":511,"name":"Materials Science","url":"https://www.academia.edu/Documents/in/Materials_Science"},{"id":512,"name":"Mechanics","url":"https://www.academia.edu/Documents/in/Mechanics"}],"urls":[{"id":40181213,"url":"http://absimage.aps.org/image/DFD17/MWS_DFD17-2017-000396.pdf"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="116026262"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/116026262/Transient_Electrophoretic_Motion_of_Charged_Particles_Through_an_L_Shaped_Microchannel"><img alt="Research paper thumbnail of Transient Electrophoretic Motion of Charged Particles Through an L-Shaped Microchannel" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/116026262/Transient_Electrophoretic_Motion_of_Charged_Particles_Through_an_L_Shaped_Microchannel">Transient Electrophoretic Motion of Charged Particles Through an L-Shaped Microchannel</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Direct current dielectrophoretic (DC-DEP) effects on the electrophoretic motion of charged polyst...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Direct current dielectrophoretic (DC-DEP) effects on the electrophoretic motion of charged polystyrene particles through an L-shaped microchannel were experimentally and numerically studied. In addition to the electrostatic and hydrodynamic forces, particles experience a negative DC-DEP force arising from the interaction between the dielectric particle and the induced spatially non-uniform electric field occurring around the corner of the L-shape microchannel. The latter force causes a cross-stream DEP motion so that the particle trajectory is shifted towards the outer corner of the turn. A two-dimensional (2D) Lagrangian particle tracking model taking into account the induced DC-DEP effect was used to predict the particle trajectory shift through the L-shaped channel, which achieves quantitative agreement with the experimental data.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="116026262"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="116026262"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 116026262; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=116026262]").text(description); $(".js-view-count[data-work-id=116026262]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 116026262; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='116026262']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 116026262, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=116026262]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":116026262,"title":"Transient Electrophoretic Motion of Charged Particles Through an L-Shaped Microchannel","translated_title":"","metadata":{"abstract":"Direct current dielectrophoretic (DC-DEP) effects on the electrophoretic motion of charged polystyrene particles through an L-shaped microchannel were experimentally and numerically studied. In addition to the electrostatic and hydrodynamic forces, particles experience a negative DC-DEP force arising from the interaction between the dielectric particle and the induced spatially non-uniform electric field occurring around the corner of the L-shape microchannel. The latter force causes a cross-stream DEP motion so that the particle trajectory is shifted towards the outer corner of the turn. A two-dimensional (2D) Lagrangian particle tracking model taking into account the induced DC-DEP effect was used to predict the particle trajectory shift through the L-shaped channel, which achieves quantitative agreement with the experimental data.","publication_date":{"day":null,"month":null,"year":2009,"errors":{}}},"translated_abstract":"Direct current dielectrophoretic (DC-DEP) effects on the electrophoretic motion of charged polystyrene particles through an L-shaped microchannel were experimentally and numerically studied. In addition to the electrostatic and hydrodynamic forces, particles experience a negative DC-DEP force arising from the interaction between the dielectric particle and the induced spatially non-uniform electric field occurring around the corner of the L-shape microchannel. The latter force causes a cross-stream DEP motion so that the particle trajectory is shifted towards the outer corner of the turn. A two-dimensional (2D) Lagrangian particle tracking model taking into account the induced DC-DEP effect was used to predict the particle trajectory shift through the L-shaped channel, which achieves quantitative agreement with the experimental data.","internal_url":"https://www.academia.edu/116026262/Transient_Electrophoretic_Motion_of_Charged_Particles_Through_an_L_Shaped_Microchannel","translated_internal_url":"","created_at":"2024-03-09T22:50:58.604-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":103082674,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Transient_Electrophoretic_Motion_of_Charged_Particles_Through_an_L_Shaped_Microchannel","translated_slug":"","page_count":null,"language":"en","content_type":"Work","summary":"Direct current dielectrophoretic (DC-DEP) effects on the electrophoretic motion of charged polystyrene particles through an L-shaped microchannel were experimentally and numerically studied. In addition to the electrostatic and hydrodynamic forces, particles experience a negative DC-DEP force arising from the interaction between the dielectric particle and the induced spatially non-uniform electric field occurring around the corner of the L-shape microchannel. The latter force causes a cross-stream DEP motion so that the particle trajectory is shifted towards the outer corner of the turn. A two-dimensional (2D) Lagrangian particle tracking model taking into account the induced DC-DEP effect was used to predict the particle trajectory shift through the L-shaped channel, which achieves quantitative agreement with the experimental data.","owner":{"id":103082674,"first_name":"Ali","middle_initials":null,"last_name":"Beskok","page_name":"ABeskok","domain_name":"smu","created_at":"2019-02-21T14:44:03.747-08:00","display_name":"Ali Beskok","url":"https://smu.academia.edu/ABeskok"},"attachments":[],"research_interests":[{"id":498,"name":"Physics","url":"https://www.academia.edu/Documents/in/Physics"},{"id":512,"name":"Mechanics","url":"https://www.academia.edu/Documents/in/Mechanics"},{"id":283531,"name":"Microchannel","url":"https://www.academia.edu/Documents/in/Microchannel"},{"id":371425,"name":"Electrophoresis","url":"https://www.academia.edu/Documents/in/Electrophoresis"},{"id":1130559,"name":"Electric Field","url":"https://www.academia.edu/Documents/in/Electric_Field"}],"urls":[{"id":40181211,"url":"https://doi.org/10.1115/imece2009-12891"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="116026260"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/116026260/Hydrodynamic_Slip_Length_of_Water_in_Carbon_Based_Nanoconfinements_A_Molecular_Dynamics_Investigation"><img alt="Research paper thumbnail of Hydrodynamic Slip Length of Water in Carbon-Based Nanoconfinements: A Molecular Dynamics Investigation" class="work-thumbnail" src="https://attachments.academia-assets.com/112271379/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/116026260/Hydrodynamic_Slip_Length_of_Water_in_Carbon_Based_Nanoconfinements_A_Molecular_Dynamics_Investigation">Hydrodynamic Slip Length of Water in Carbon-Based Nanoconfinements: A Molecular Dynamics Investigation</a></div><div class="wp-workCard_item"><span>DergiPark (Istanbul University)</span><span>, Oct 31, 2019</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Molecular dynamics (MD) simulations of force-driven deionized water flows both in nanoscale perio...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Molecular dynamics (MD) simulations of force-driven deionized water flows both in nanoscale periodic systems and in carbon-based nanoconfinements are performed. Carbon nanotubes (CNTs) and graphene nanochannels are considered to investigate the size and curvature effects on the slip length of water at a fixed thermodynamic state. Nanochannel flow simulations exhibit plug velocity profiles with large slip length at the interface that are modeled by Navier-type slip boundary condition. Large slip lengths are mainly due to the high surface density of carbon-based nanoconduits and weak interaction strengths between carbon atoms and water molecules. A constant slip length of 64 nm in graphene channels are observed for heights varying from 2.71 to 9.52 nm. However, considering comparable CNT diameters, slip lengths are found to be size-dependent. Slip length in CNTs decreases from 204 nm to approximately 68 nm with increased diameter.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="e90fcebbd87775ca049cc96d4328493f" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":112271379,"asset_id":116026260,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/112271379/download_file?st=MTczNDAzODQ1Myw4LjIyMi4yMDguMTQ2&st=MTczNDAzODQ1Myw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="116026260"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="116026260"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 116026260; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=116026260]").text(description); $(".js-view-count[data-work-id=116026260]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 116026260; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='116026260']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 116026260, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "e90fcebbd87775ca049cc96d4328493f" } } $('.js-work-strip[data-work-id=116026260]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":116026260,"title":"Hydrodynamic Slip Length of Water in Carbon-Based Nanoconfinements: A Molecular Dynamics Investigation","translated_title":"","metadata":{"publisher":"Istanbul University","ai_title_tag":"Slip Length of Water in Carbon Nanoconfinements via MD Simulations","grobid_abstract":"Molecular dynamics (MD) simulations of force-driven deionized water flows both in nanoscale periodic systems and in carbon-based nanoconfinements are performed. Carbon nanotubes (CNTs) and graphene nanochannels are considered to investigate the size and curvature effects on the slip length of water at a fixed thermodynamic state. Nanochannel flow simulations exhibit plug velocity profiles with large slip length at the interface that are modeled by Navier-type slip boundary condition. Large slip lengths are mainly due to the high surface density of carbon-based nanoconduits and weak interaction strengths between carbon atoms and water molecules. A constant slip length of 64 nm in graphene channels are observed for heights varying from 2.71 to 9.52 nm. However, considering comparable CNT diameters, slip lengths are found to be size-dependent. Slip length in CNTs decreases from 204 nm to approximately 68 nm with increased diameter.","publication_date":{"day":31,"month":10,"year":2019,"errors":{}},"publication_name":"DergiPark (Istanbul University)","grobid_abstract_attachment_id":112271379},"translated_abstract":null,"internal_url":"https://www.academia.edu/116026260/Hydrodynamic_Slip_Length_of_Water_in_Carbon_Based_Nanoconfinements_A_Molecular_Dynamics_Investigation","translated_internal_url":"","created_at":"2024-03-09T22:50:58.269-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":103082674,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":112271379,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/112271379/thumbnails/1.jpg","file_name":"1244041.pdf","download_url":"https://www.academia.edu/attachments/112271379/download_file?st=MTczNDAzODQ1Myw4LjIyMi4yMDguMTQ2&st=MTczNDAzODQ1Myw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Hydrodynamic_Slip_Length_of_Water_in_Car.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/112271379/1244041-libre.pdf?1710053849=\u0026response-content-disposition=attachment%3B+filename%3DHydrodynamic_Slip_Length_of_Water_in_Car.pdf\u0026Expires=1734042053\u0026Signature=Ii-sXPlUPc3gC8N8NwV0~Clc8i9~Pr91qGVPoTPkpKaRlyFE5Vv2VCqBBBkGXDwDAn2fhTFqlyR7AG0qHMgdlAOARxht064xc4L9R4b2eZWBLxJro3GImbdc0~a9~QIMISumdkGIYPXPHyTTXb-R689GV9G6G5sYorxs6G-Oz-VKtrTqShLIEnINt162aYKPA~DYM5cpDARQrD5p5z7YN88QVGTaoIHMlpGpnLJbuVzToU69g7TvHp~T5YvALmPiObthUGG~azNVkOreg77LTpYoYCvJGQJ-yebCyy25MykeWdCCGb36Qn3xYBvIj~YNS6-91ttTOcILPNoGIJTJmw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Hydrodynamic_Slip_Length_of_Water_in_Carbon_Based_Nanoconfinements_A_Molecular_Dynamics_Investigation","translated_slug":"","page_count":13,"language":"en","content_type":"Work","summary":"Molecular dynamics (MD) simulations of force-driven deionized water flows both in nanoscale periodic systems and in carbon-based nanoconfinements are performed. Carbon nanotubes (CNTs) and graphene nanochannels are considered to investigate the size and curvature effects on the slip length of water at a fixed thermodynamic state. Nanochannel flow simulations exhibit plug velocity profiles with large slip length at the interface that are modeled by Navier-type slip boundary condition. Large slip lengths are mainly due to the high surface density of carbon-based nanoconduits and weak interaction strengths between carbon atoms and water molecules. A constant slip length of 64 nm in graphene channels are observed for heights varying from 2.71 to 9.52 nm. However, considering comparable CNT diameters, slip lengths are found to be size-dependent. Slip length in CNTs decreases from 204 nm to approximately 68 nm with increased diameter.","owner":{"id":103082674,"first_name":"Ali","middle_initials":null,"last_name":"Beskok","page_name":"ABeskok","domain_name":"smu","created_at":"2019-02-21T14:44:03.747-08:00","display_name":"Ali Beskok","url":"https://smu.academia.edu/ABeskok"},"attachments":[{"id":112271379,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/112271379/thumbnails/1.jpg","file_name":"1244041.pdf","download_url":"https://www.academia.edu/attachments/112271379/download_file?st=MTczNDAzODQ1Myw4LjIyMi4yMDguMTQ2&st=MTczNDAzODQ1Myw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Hydrodynamic_Slip_Length_of_Water_in_Car.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/112271379/1244041-libre.pdf?1710053849=\u0026response-content-disposition=attachment%3B+filename%3DHydrodynamic_Slip_Length_of_Water_in_Car.pdf\u0026Expires=1734042053\u0026Signature=Ii-sXPlUPc3gC8N8NwV0~Clc8i9~Pr91qGVPoTPkpKaRlyFE5Vv2VCqBBBkGXDwDAn2fhTFqlyR7AG0qHMgdlAOARxht064xc4L9R4b2eZWBLxJro3GImbdc0~a9~QIMISumdkGIYPXPHyTTXb-R689GV9G6G5sYorxs6G-Oz-VKtrTqShLIEnINt162aYKPA~DYM5cpDARQrD5p5z7YN88QVGTaoIHMlpGpnLJbuVzToU69g7TvHp~T5YvALmPiObthUGG~azNVkOreg77LTpYoYCvJGQJ-yebCyy25MykeWdCCGb36Qn3xYBvIj~YNS6-91ttTOcILPNoGIJTJmw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":952571,"name":"Music Information Dynamics","url":"https://www.academia.edu/Documents/in/Music_Information_Dynamics"}],"urls":[{"id":40181209,"url":"https://dergipark.org.tr/tr/download/article-file/1244041"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="116026258"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/116026258/The_role_of_water_models_on_the_prediction_of_slip_length_of_water_in_graphene_nanochannels"><img alt="Research paper thumbnail of The role of water models on the prediction of slip length of water in graphene nanochannels" class="work-thumbnail" src="https://attachments.academia-assets.com/112271395/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/116026258/The_role_of_water_models_on_the_prediction_of_slip_length_of_water_in_graphene_nanochannels">The role of water models on the prediction of slip length of water in graphene nanochannels</a></div><div class="wp-workCard_item"><span>Journal of Chemical Physics</span><span>, Nov 7, 2019</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Slip lengths reported from molecular dynamics (MD) simulations of water flow in graphene nanochan...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Slip lengths reported from molecular dynamics (MD) simulations of water flow in graphene nanochannels show significant scatter in the literature. These discrepancies are in part due to the used water models. We demonstrate self-consistent comparisons of slip characteristics between the SPC, SPC/E, SPC/Fw, TIP3P, TIP4P, and TIP4P/2005 water models. The slip lengths are inferred using an analytical model that employs the shear viscosity of water and channel average velocities obtained from nonequilibrium MD simulations. First, viscosities for each water model are quantified using MD simulations of counterflowing, force-driven flows in periodic domains in the absence of physical walls. While the TIP4P/2005 model predicts water viscosity at the specified thermodynamic state with 1.7% error, the predictions of SPC/Fw and SPC/E models exhibit 13.9% and 23.1% deviations, respectively. Water viscosities obtained from SPC, TIP4P, and TIP3P models show larger deviations. Next, force-driven water flows in rigid (cold) and thermally vibrating (thermal) graphene nanochannels are simulated, resulting in pluglike velocity profiles. Large differences in the flow velocities are observed depending on the used water model and to a lesser extent on the choice of rigid vs thermal walls. Depending on the water model, the slip length of water on cold graphene walls varied between 34.2 nm and 62.9 nm, while the slip lengths of water on thermal graphene walls varied in the range of 38.1 nm-84.3 nm.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="ac1a371f657a3c35cab1e7fe8fe7b982" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":112271395,"asset_id":116026258,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/112271395/download_file?st=MTczNDAzODQ1Myw4LjIyMi4yMDguMTQ2&st=MTczNDAzODQ1Myw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="116026258"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="116026258"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 116026258; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=116026258]").text(description); $(".js-view-count[data-work-id=116026258]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 116026258; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='116026258']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 116026258, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "ac1a371f657a3c35cab1e7fe8fe7b982" } } $('.js-work-strip[data-work-id=116026258]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":116026258,"title":"The role of water models on the prediction of slip length of water in graphene nanochannels","translated_title":"","metadata":{"publisher":"American Institute of Physics","grobid_abstract":"Slip lengths reported from molecular dynamics (MD) simulations of water flow in graphene nanochannels show significant scatter in the literature. These discrepancies are in part due to the used water models. We demonstrate self-consistent comparisons of slip characteristics between the SPC, SPC/E, SPC/Fw, TIP3P, TIP4P, and TIP4P/2005 water models. The slip lengths are inferred using an analytical model that employs the shear viscosity of water and channel average velocities obtained from nonequilibrium MD simulations. First, viscosities for each water model are quantified using MD simulations of counterflowing, force-driven flows in periodic domains in the absence of physical walls. While the TIP4P/2005 model predicts water viscosity at the specified thermodynamic state with 1.7% error, the predictions of SPC/Fw and SPC/E models exhibit 13.9% and 23.1% deviations, respectively. Water viscosities obtained from SPC, TIP4P, and TIP3P models show larger deviations. Next, force-driven water flows in rigid (cold) and thermally vibrating (thermal) graphene nanochannels are simulated, resulting in pluglike velocity profiles. Large differences in the flow velocities are observed depending on the used water model and to a lesser extent on the choice of rigid vs thermal walls. Depending on the water model, the slip length of water on cold graphene walls varied between 34.2 nm and 62.9 nm, while the slip lengths of water on thermal graphene walls varied in the range of 38.1 nm-84.3 nm.","publication_date":{"day":7,"month":11,"year":2019,"errors":{}},"publication_name":"Journal of Chemical Physics","grobid_abstract_attachment_id":112271395},"translated_abstract":null,"internal_url":"https://www.academia.edu/116026258/The_role_of_water_models_on_the_prediction_of_slip_length_of_water_in_graphene_nanochannels","translated_internal_url":"","created_at":"2024-03-09T22:50:57.800-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":103082674,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":112271395,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/112271395/thumbnails/1.jpg","file_name":"download.pdf","download_url":"https://www.academia.edu/attachments/112271395/download_file?st=MTczNDAzODQ1Myw4LjIyMi4yMDguMTQ2&st=MTczNDAzODQ1Myw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"The_role_of_water_models_on_the_predicti.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/112271395/download-libre.pdf?1710053829=\u0026response-content-disposition=attachment%3B+filename%3DThe_role_of_water_models_on_the_predicti.pdf\u0026Expires=1734042053\u0026Signature=Kt3r-cCqw37K9TGHahu0v82ZXI1N8fqKQ~ysRO~HoZyoe9rFz2ctWfDvgOh0KyNWKLYsjUqmYityeQKQy0oLzcrLz03sjC32b2ZAhYfD4Q-WeG1RiCM2mD50DPbgATqv1Neu~u8LKngwmMHelK-wv9Pd0H-c~iX305o~Xt5iSLvJ3w0f5eOVoAFr-C~75RJOJNxjqbu0ZXfnsZbO93~vwVgM2Bs05M7XCF84PjhTlwqMGo9P6UxIDWKtjRjHU1gFPLw3nioAMPHZjh~iYRG5QGpuCaBBAVy-Iyfy2TEZ2mJ5j5SOapbnESMusuj1ni9YAGE7Pv9AMlbmU~imsr~7Mg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"The_role_of_water_models_on_the_prediction_of_slip_length_of_water_in_graphene_nanochannels","translated_slug":"","page_count":12,"language":"en","content_type":"Work","summary":"Slip lengths reported from molecular dynamics (MD) simulations of water flow in graphene nanochannels show significant scatter in the literature. These discrepancies are in part due to the used water models. We demonstrate self-consistent comparisons of slip characteristics between the SPC, SPC/E, SPC/Fw, TIP3P, TIP4P, and TIP4P/2005 water models. The slip lengths are inferred using an analytical model that employs the shear viscosity of water and channel average velocities obtained from nonequilibrium MD simulations. First, viscosities for each water model are quantified using MD simulations of counterflowing, force-driven flows in periodic domains in the absence of physical walls. While the TIP4P/2005 model predicts water viscosity at the specified thermodynamic state with 1.7% error, the predictions of SPC/Fw and SPC/E models exhibit 13.9% and 23.1% deviations, respectively. Water viscosities obtained from SPC, TIP4P, and TIP3P models show larger deviations. Next, force-driven water flows in rigid (cold) and thermally vibrating (thermal) graphene nanochannels are simulated, resulting in pluglike velocity profiles. Large differences in the flow velocities are observed depending on the used water model and to a lesser extent on the choice of rigid vs thermal walls. Depending on the water model, the slip length of water on cold graphene walls varied between 34.2 nm and 62.9 nm, while the slip lengths of water on thermal graphene walls varied in the range of 38.1 nm-84.3 nm.","owner":{"id":103082674,"first_name":"Ali","middle_initials":null,"last_name":"Beskok","page_name":"ABeskok","domain_name":"smu","created_at":"2019-02-21T14:44:03.747-08:00","display_name":"Ali Beskok","url":"https://smu.academia.edu/ABeskok"},"attachments":[{"id":112271395,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/112271395/thumbnails/1.jpg","file_name":"download.pdf","download_url":"https://www.academia.edu/attachments/112271395/download_file?st=MTczNDAzODQ1Myw4LjIyMi4yMDguMTQ2&st=MTczNDAzODQ1Myw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"The_role_of_water_models_on_the_predicti.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/112271395/download-libre.pdf?1710053829=\u0026response-content-disposition=attachment%3B+filename%3DThe_role_of_water_models_on_the_predicti.pdf\u0026Expires=1734042053\u0026Signature=Kt3r-cCqw37K9TGHahu0v82ZXI1N8fqKQ~ysRO~HoZyoe9rFz2ctWfDvgOh0KyNWKLYsjUqmYityeQKQy0oLzcrLz03sjC32b2ZAhYfD4Q-WeG1RiCM2mD50DPbgATqv1Neu~u8LKngwmMHelK-wv9Pd0H-c~iX305o~Xt5iSLvJ3w0f5eOVoAFr-C~75RJOJNxjqbu0ZXfnsZbO93~vwVgM2Bs05M7XCF84PjhTlwqMGo9P6UxIDWKtjRjHU1gFPLw3nioAMPHZjh~iYRG5QGpuCaBBAVy-Iyfy2TEZ2mJ5j5SOapbnESMusuj1ni9YAGE7Pv9AMlbmU~imsr~7Mg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering"},{"id":511,"name":"Materials Science","url":"https://www.academia.edu/Documents/in/Materials_Science"},{"id":11541,"name":"Graphene","url":"https://www.academia.edu/Documents/in/Graphene"},{"id":22300,"name":"Chemical Physics","url":"https://www.academia.edu/Documents/in/Chemical_Physics"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":35638,"name":"Molecular Dynamics","url":"https://www.academia.edu/Documents/in/Molecular_Dynamics"},{"id":118582,"name":"Physical sciences","url":"https://www.academia.edu/Documents/in/Physical_sciences"},{"id":174347,"name":"Thermal","url":"https://www.academia.edu/Documents/in/Thermal"},{"id":260118,"name":"CHEMICAL SCIENCES","url":"https://www.academia.edu/Documents/in/CHEMICAL_SCIENCES"}],"urls":[{"id":40181207,"url":"https://doi.org/10.1063/1.5123713"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="116026256"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/116026256/Micro_Fluidic_Design_and_Fluid_Structure_Interaction_Analysis_of_a_Micro_Pump"><img alt="Research paper thumbnail of Micro-Fluidic Design and Fluid-Structure Interaction Analysis of a Micro-Pump" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/116026256/Micro_Fluidic_Design_and_Fluid_Structure_Interaction_Analysis_of_a_Micro_Pump">Micro-Fluidic Design and Fluid-Structure Interaction Analysis of a Micro-Pump</a></div><div class="wp-workCard_item"><span>Micro-Electro-Mechanical Systems (MEMS)</span><span>, Nov 15, 1998</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Conceptual design of a reversible micro-pump system is demonstrated by numerical simulations. Uns...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Conceptual design of a reversible micro-pump system is demonstrated by numerical simulations. Unsteady, incompressible Navier-Stokes equations in a moving boundary system are solved by ΝεκΤαr, a spectral element (high-order) algorithm employing an Arbitrary Lagrangian Eulerian (ALE) formulation on unstructured meshes. The performance of the micro-pump is evaluated as a function of the Reynolds number and the geometric parameters. The volumetric flowrate is shown to increase as a function of the Reynolds number. However, the efficiency of the micro-pump decreases with increased Reynolds number, due to the increased leakage effects.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="116026256"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="116026256"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 116026256; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=116026256]").text(description); $(".js-view-count[data-work-id=116026256]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 116026256; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='116026256']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 116026256, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=116026256]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":116026256,"title":"Micro-Fluidic Design and Fluid-Structure Interaction Analysis of a Micro-Pump","translated_title":"","metadata":{"abstract":"Conceptual design of a reversible micro-pump system is demonstrated by numerical simulations. 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However, the efficiency of the micro-pump decreases with increased Reynolds number, due to the increased leakage effects.","internal_url":"https://www.academia.edu/116026256/Micro_Fluidic_Design_and_Fluid_Structure_Interaction_Analysis_of_a_Micro_Pump","translated_internal_url":"","created_at":"2024-03-09T22:50:57.393-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":103082674,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Micro_Fluidic_Design_and_Fluid_Structure_Interaction_Analysis_of_a_Micro_Pump","translated_slug":"","page_count":null,"language":"en","content_type":"Work","summary":"Conceptual design of a reversible micro-pump system is demonstrated by numerical simulations. 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However, the efficiency of the micro-pump decreases with increased Reynolds number, due to the increased leakage effects.","owner":{"id":103082674,"first_name":"Ali","middle_initials":null,"last_name":"Beskok","page_name":"ABeskok","domain_name":"smu","created_at":"2019-02-21T14:44:03.747-08:00","display_name":"Ali Beskok","url":"https://smu.academia.edu/ABeskok"},"attachments":[],"research_interests":[{"id":512,"name":"Mechanics","url":"https://www.academia.edu/Documents/in/Mechanics"},{"id":852297,"name":"Fluidics","url":"https://www.academia.edu/Documents/in/Fluidics"},{"id":1008960,"name":"Reynolds Number","url":"https://www.academia.edu/Documents/in/Reynolds_Number"},{"id":2728759,"name":"Micro-Electro-Mechanical Systems (MEMS) technology","url":"https://www.academia.edu/Documents/in/Micro-Electro-Mechanical_Systems_MEMS_technology"}],"urls":[{"id":40181205,"url":"https://doi.org/10.1115/imece1998-1225"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="116026254"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/116026254/Flow_and_Species_Transport_Control_in_Grooved_Micro_Channels"><img alt="Research paper thumbnail of Flow and Species Transport Control in Grooved Micro-Channels" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/116026254/Flow_and_Species_Transport_Control_in_Grooved_Micro_Channels">Flow and Species Transport Control in Grooved Micro-Channels</a></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">We demonstrate flow control concepts in a grooved micro-channel using selectively patterned, elec...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">We demonstrate flow control concepts in a grooved micro-channel using selectively patterned, electroosmotically active surfaces and locally applied electric fields. This framework enables formation of rather complex flow patterns in simple micro-geometries. Ability to vary the electric field magnitude and its polarity also manifests time-dependent flow alterations, which results in flow and species transport control abilities. The results obtained in a single micro-groove constitute the proof of concept for flow and species transport ...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="116026254"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="116026254"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 116026254; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=116026254]").text(description); $(".js-view-count[data-work-id=116026254]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 116026254; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='116026254']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 116026254, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=116026254]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":116026254,"title":"Flow and Species Transport Control in Grooved Micro-Channels","translated_title":"","metadata":{"abstract":"We demonstrate flow control concepts in a grooved micro-channel using selectively patterned, electroosmotically active surfaces and locally applied electric fields. 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The results obtained in a single micro-groove constitute the proof of concept for flow and species transport ...","internal_url":"https://www.academia.edu/116026254/Flow_and_Species_Transport_Control_in_Grooved_Micro_Channels","translated_internal_url":"","created_at":"2024-03-09T22:50:56.966-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":103082674,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Flow_and_Species_Transport_Control_in_Grooved_Micro_Channels","translated_slug":"","page_count":null,"language":"en","content_type":"Work","summary":"We demonstrate flow control concepts in a grooved micro-channel using selectively patterned, electroosmotically active surfaces and locally applied electric fields. This framework enables formation of rather complex flow patterns in simple micro-geometries. Ability to vary the electric field magnitude and its polarity also manifests time-dependent flow alterations, which results in flow and species transport control abilities. The results obtained in a single micro-groove constitute the proof of concept for flow and species transport ...","owner":{"id":103082674,"first_name":"Ali","middle_initials":null,"last_name":"Beskok","page_name":"ABeskok","domain_name":"smu","created_at":"2019-02-21T14:44:03.747-08:00","display_name":"Ali Beskok","url":"https://smu.academia.edu/ABeskok"},"attachments":[],"research_interests":[{"id":48,"name":"Engineering","url":"https://www.academia.edu/Documents/in/Engineering"},{"id":512,"name":"Mechanics","url":"https://www.academia.edu/Documents/in/Mechanics"},{"id":523,"name":"Chemistry","url":"https://www.academia.edu/Documents/in/Chemistry"},{"id":23818,"name":"Microelectromechanical systems","url":"https://www.academia.edu/Documents/in/Microelectromechanical_systems"},{"id":80414,"name":"Mathematical Sciences","url":"https://www.academia.edu/Documents/in/Mathematical_Sciences"},{"id":118582,"name":"Physical sciences","url":"https://www.academia.edu/Documents/in/Physical_sciences"},{"id":1130559,"name":"Electric Field","url":"https://www.academia.edu/Documents/in/Electric_Field"},{"id":4130241,"name":"Control volume","url":"https://www.academia.edu/Documents/in/Control_volume"}],"urls":[{"id":40181203,"url":"https://doi.org/10.1115/imece2005-82111"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="116026252"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/116026252/DC_electrokinetic_motion_of_colloidal_cylinder_s_in_the_vicinity_of_a_conducting_wall"><img alt="Research paper thumbnail of DC‐electrokinetic motion of colloidal cylinder(s) in the vicinity of a conducting wall" class="work-thumbnail" src="https://attachments.academia-assets.com/112271394/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/116026252/DC_electrokinetic_motion_of_colloidal_cylinder_s_in_the_vicinity_of_a_conducting_wall">DC‐electrokinetic motion of colloidal cylinder(s) in the vicinity of a conducting wall</a></div><div class="wp-workCard_item"><span>ELECTROPHORESIS</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The boundary effects on DC‐electrokinetic behavior of colloidal cylinder(s) in the vicinity of a ...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The boundary effects on DC‐electrokinetic behavior of colloidal cylinder(s) in the vicinity of a conducting wall is investigated through a computational model. The contribution of the hydrodynamic drag, gravity, electrokinetic (i.e., electrophoretic and dielectrophoretic), and colloidal forces (i.e., forces due to the electrical double layer and van der Waals interactions) are incorporated in the model. The contribution of electrokinetic and colloidal forces are included by introducing the resulting forces as an external force acting on the particle(s). The colloidal forces are implemented with the prescribed expressions from the literature, and the electrokinetic force is obtained by integrating the corresponding Maxwell stress tensor over the particles&#39; surfaces. The electrokinetic slip‐velocity together with the thin electrical double layer assumption is applied on the surfaces. The position and velocity of the particles and the resulting electric and flow fields are obtained...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="7de3f39bbadb069a8e9a612ca66d898f" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":112271394,"asset_id":116026252,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/112271394/download_file?st=MTczNDAzODQ1Myw4LjIyMi4yMDguMTQ2&st=MTczNDAzODQ1Myw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="116026252"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="116026252"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 116026252; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=116026252]").text(description); $(".js-view-count[data-work-id=116026252]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 116026252; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='116026252']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 116026252, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "7de3f39bbadb069a8e9a612ca66d898f" } } $('.js-work-strip[data-work-id=116026252]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":116026252,"title":"DC‐electrokinetic motion of colloidal cylinder(s) in the vicinity of a conducting wall","translated_title":"","metadata":{"abstract":"The boundary effects on DC‐electrokinetic behavior of colloidal cylinder(s) in the vicinity of a conducting wall is investigated through a computational model. The contribution of the hydrodynamic drag, gravity, electrokinetic (i.e., electrophoretic and dielectrophoretic), and colloidal forces (i.e., forces due to the electrical double layer and van der Waals interactions) are incorporated in the model. The contribution of electrokinetic and colloidal forces are included by introducing the resulting forces as an external force acting on the particle(s). The colloidal forces are implemented with the prescribed expressions from the literature, and the electrokinetic force is obtained by integrating the corresponding Maxwell stress tensor over the particles\u0026#39; surfaces. The electrokinetic slip‐velocity together with the thin electrical double layer assumption is applied on the surfaces. The position and velocity of the particles and the resulting electric and flow fields are obtained...","publisher":"Wiley","publication_name":"ELECTROPHORESIS"},"translated_abstract":"The boundary effects on DC‐electrokinetic behavior of colloidal cylinder(s) in the vicinity of a conducting wall is investigated through a computational model. The contribution of the hydrodynamic drag, gravity, electrokinetic (i.e., electrophoretic and dielectrophoretic), and colloidal forces (i.e., forces due to the electrical double layer and van der Waals interactions) are incorporated in the model. The contribution of electrokinetic and colloidal forces are included by introducing the resulting forces as an external force acting on the particle(s). The colloidal forces are implemented with the prescribed expressions from the literature, and the electrokinetic force is obtained by integrating the corresponding Maxwell stress tensor over the particles\u0026#39; surfaces. The electrokinetic slip‐velocity together with the thin electrical double layer assumption is applied on the surfaces. The position and velocity of the particles and the resulting electric and flow fields are obtained...","internal_url":"https://www.academia.edu/116026252/DC_electrokinetic_motion_of_colloidal_cylinder_s_in_the_vicinity_of_a_conducting_wall","translated_internal_url":"","created_at":"2024-03-09T22:50:56.408-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":103082674,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":112271394,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/112271394/thumbnails/1.jpg","file_name":"DC_electrokinetic_motion_of_colloidal_cylinder_in_the_vicinity_of_a_conducting_wall.pdf","download_url":"https://www.academia.edu/attachments/112271394/download_file?st=MTczNDAzODQ1Myw4LjIyMi4yMDguMTQ2&st=MTczNDAzODQ1Myw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"DC_electrokinetic_motion_of_colloidal_cy.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/112271394/DC_electrokinetic_motion_of_colloidal_cylinder_in_the_vicinity_of_a_conducting_wall-libre.pdf?1710053818=\u0026response-content-disposition=attachment%3B+filename%3DDC_electrokinetic_motion_of_colloidal_cy.pdf\u0026Expires=1734042053\u0026Signature=V9eD4k-3ISIpsfY5RqRvxOdNBjW11pzgEjzQSMRkPa0OfPXGdG2WBFpAmuMe4ccyTgB2P7c31sXK0bRawlQBumeV01uuuhzYk6iI416ZI-Ou1I8bS196RjAd8m4fAp8T5V~lDDhKAJypAuZizPneNZ9dwpBDm6Ae8MK3FjyuH2lk7tqJRdnXnki~kPEmNe6NlBBxSKAyuW9mJQtjhug7DMtLQlbINoDe697~cOzuwagob4ePt9eizIhUymCpw3Z5Yx9tq3QP5Q1x~U7u8Vypxjh85-2FzSykotCr2wp0oZSfu2-cZXDiq0mr2PpJ5jNspMXeDOGMop9qDW2XTVrfMg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"DC_electrokinetic_motion_of_colloidal_cylinder_s_in_the_vicinity_of_a_conducting_wall","translated_slug":"","page_count":13,"language":"en","content_type":"Work","summary":"The boundary effects on DC‐electrokinetic behavior of colloidal cylinder(s) in the vicinity of a conducting wall is investigated through a computational model. The contribution of the hydrodynamic drag, gravity, electrokinetic (i.e., electrophoretic and dielectrophoretic), and colloidal forces (i.e., forces due to the electrical double layer and van der Waals interactions) are incorporated in the model. The contribution of electrokinetic and colloidal forces are included by introducing the resulting forces as an external force acting on the particle(s). The colloidal forces are implemented with the prescribed expressions from the literature, and the electrokinetic force is obtained by integrating the corresponding Maxwell stress tensor over the particles\u0026#39; surfaces. The electrokinetic slip‐velocity together with the thin electrical double layer assumption is applied on the surfaces. 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The MHS is a single-phase, closed micro-fluidic system, which utilize time-periodic forced convection cooling. We verified the MHS concept by numerically simulating its operation under various conditions. Our parametric studies have shown that, unlike the steady laminar forced convection, the Nusselt number for time-periodic forced convection laminar flows have strong dependence on the Reynolds and Prandtl numbers. The increase in the Nusselt number indicates enhanced cooling capability of the MHS device. Based on our parametric studies, we calculated the optimum operation conditions, device dimensions and the maximum heat-dissipation rates.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="116026250"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="116026250"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 116026250; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=116026250]").text(description); $(".js-view-count[data-work-id=116026250]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 116026250; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='116026250']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 116026250, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=116026250]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":116026250,"title":"Time-Periodic Forced Convection in Micro Heat Spreaders","translated_title":"","metadata":{"abstract":"A new micro heat spreader (MHS) concept for efficient dissipation of large, concentrated heat loads is introduced. The MHS is a single-phase, closed micro-fluidic system, which utilize time-periodic forced convection cooling. We verified the MHS concept by numerically simulating its operation under various conditions. Our parametric studies have shown that, unlike the steady laminar forced convection, the Nusselt number for time-periodic forced convection laminar flows have strong dependence on the Reynolds and Prandtl numbers. The increase in the Nusselt number indicates enhanced cooling capability of the MHS device. Based on our parametric studies, we calculated the optimum operation conditions, device dimensions and the maximum heat-dissipation rates.","publisher":"American Society of Mechanical Engineers","publication_date":{"day":null,"month":null,"year":2000,"errors":{}},"publication_name":"Micro-Electro-Mechanical Systems (MEMS)"},"translated_abstract":"A new micro heat spreader (MHS) concept for efficient dissipation of large, concentrated heat loads is introduced. The MHS is a single-phase, closed micro-fluidic system, which utilize time-periodic forced convection cooling. We verified the MHS concept by numerically simulating its operation under various conditions. Our parametric studies have shown that, unlike the steady laminar forced convection, the Nusselt number for time-periodic forced convection laminar flows have strong dependence on the Reynolds and Prandtl numbers. The increase in the Nusselt number indicates enhanced cooling capability of the MHS device. Based on our parametric studies, we calculated the optimum operation conditions, device dimensions and the maximum heat-dissipation rates.","internal_url":"https://www.academia.edu/116026250/Time_Periodic_Forced_Convection_in_Micro_Heat_Spreaders","translated_internal_url":"","created_at":"2024-03-09T22:50:56.019-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":103082674,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Time_Periodic_Forced_Convection_in_Micro_Heat_Spreaders","translated_slug":"","page_count":null,"language":"en","content_type":"Work","summary":"A new micro heat spreader (MHS) concept for efficient dissipation of large, concentrated heat loads is introduced. The MHS is a single-phase, closed micro-fluidic system, which utilize time-periodic forced convection cooling. We verified the MHS concept by numerically simulating its operation under various conditions. Our parametric studies have shown that, unlike the steady laminar forced convection, the Nusselt number for time-periodic forced convection laminar flows have strong dependence on the Reynolds and Prandtl numbers. The increase in the Nusselt number indicates enhanced cooling capability of the MHS device. Based on our parametric studies, we calculated the optimum operation conditions, device dimensions and the maximum heat-dissipation rates.","owner":{"id":103082674,"first_name":"Ali","middle_initials":null,"last_name":"Beskok","page_name":"ABeskok","domain_name":"smu","created_at":"2019-02-21T14:44:03.747-08:00","display_name":"Ali Beskok","url":"https://smu.academia.edu/ABeskok"},"attachments":[],"research_interests":[{"id":1327,"name":"Convection","url":"https://www.academia.edu/Documents/in/Convection"},{"id":890685,"name":"Forced Convection","url":"https://www.academia.edu/Documents/in/Forced_Convection"},{"id":2728759,"name":"Micro-Electro-Mechanical Systems (MEMS) technology","url":"https://www.academia.edu/Documents/in/Micro-Electro-Mechanical_Systems_MEMS_technology"}],"urls":[{"id":40181199,"url":"https://asmedigitalcollection.asme.org/IMECE/proceedings-pdf/doi/10.1115/IMECE2000-1119/6787629/375_1_imece2000-1119.pdf"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="116026248"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/116026248/Professor_Satish_G_Kandlikar_on_His_70th_Birthday"><img alt="Research paper thumbnail of Professor Satish G. Kandlikar on His 70th Birthday" class="work-thumbnail" src="https://attachments.academia-assets.com/112271372/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/116026248/Professor_Satish_G_Kandlikar_on_His_70th_Birthday">Professor Satish G. Kandlikar on His 70th Birthday</a></div><div class="wp-workCard_item"><span>Journal of Thermal Science and Engineering Applications</span><span>, 2020</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">is one of the well-known names in the field of flow boiling. He was born in June 1950 in India. H...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">is one of the well-known names in the field of flow boiling. He was born in June 1950 in India. He received his B.S. in Mechanical Engineering from Marathawada University, India. He received his M.S. and Ph.D. degrees from the Department of Mechanical Engineering at the Indian Institute of Technology (IIT) in Mumbai, India. His supervisor was Prof. S. P. Sukhatme. After finishing his Ph.D. in 1975, Prof. Kandlikar became a faculty member in the Department of Mechanical Engineering at IIT before coming to Rochester Institute of Technology (RIT), in Rochester, New York, in 1980. Currently, he is the Gleason Professor of Mechanical Engineering in the Department of Mechanical Engineering, Rochester Institute of Technology. He was the founder of the RIT Thermal Analysis and Microfluidics Laboratory in 1990, which examines essential phenomena related to microscale fluid dynamics and mechanics. During his career at RIT, Prof. Kandlikar became involved in several activities. For instance, he founded the ASME Heat Transfer chapter in Rochester. He also founded and served as the first Chairman of the E-cubed fair-science and engineering fair for middle school students in celebration of Engineers Week.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="3ddd6d888f4288ff444d896f4e9dd35e" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":112271372,"asset_id":116026248,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/112271372/download_file?st=MTczNDAzODQ1Myw4LjIyMi4yMDguMTQ2&st=MTczNDAzODQ1Myw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="116026248"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="116026248"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 116026248; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=116026248]").text(description); $(".js-view-count[data-work-id=116026248]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 116026248; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='116026248']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 116026248, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "3ddd6d888f4288ff444d896f4e9dd35e" } } $('.js-work-strip[data-work-id=116026248]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":116026248,"title":"Professor Satish G. 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He was born in June 1950 in India. He received his B.S. in Mechanical Engineering from Marathawada University, India. He received his M.S. and Ph.D. degrees from the Department of Mechanical Engineering at the Indian Institute of Technology (IIT) in Mumbai, India. His supervisor was Prof. S. P. Sukhatme. After finishing his Ph.D. in 1975, Prof. Kandlikar became a faculty member in the Department of Mechanical Engineering at IIT before coming to Rochester Institute of Technology (RIT), in Rochester, New York, in 1980. Currently, he is the Gleason Professor of Mechanical Engineering in the Department of Mechanical Engineering, Rochester Institute of Technology. He was the founder of the RIT Thermal Analysis and Microfluidics Laboratory in 1990, which examines essential phenomena related to microscale fluid dynamics and mechanics. During his career at RIT, Prof. Kandlikar became involved in several activities. For instance, he founded the ASME Heat Transfer chapter in Rochester. He also founded and served as the first Chairman of the E-cubed fair-science and engineering fair for middle school students in celebration of Engineers Week.","owner":{"id":103082674,"first_name":"Ali","middle_initials":null,"last_name":"Beskok","page_name":"ABeskok","domain_name":"smu","created_at":"2019-02-21T14:44:03.747-08:00","display_name":"Ali Beskok","url":"https://smu.academia.edu/ABeskok"},"attachments":[{"id":112271372,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/112271372/thumbnails/1.jpg","file_name":"tsea_12_6_060301.pdf","download_url":"https://www.academia.edu/attachments/112271372/download_file?st=MTczNDAzODQ1Myw4LjIyMi4yMDguMTQ2&st=MTczNDAzODQ1Myw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Professor_Satish_G_Kandlikar_on_His_70th.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/112271372/tsea_12_6_060301-libre.pdf?1710053812=\u0026response-content-disposition=attachment%3B+filename%3DProfessor_Satish_G_Kandlikar_on_His_70th.pdf\u0026Expires=1734042053\u0026Signature=eZju~a12GLaLfkmxQWNy~Zi1Ix-3lZmv3HVNtY1VsvT7AjlNHgPRjWaF295FLbuzyDS-hzgs8VNh8JHLqvEMwAlaW3y5gLsBmHY~jiX6jWZU75AbuMXsP1xEcosxYzVkWXYjjLtizY6rXJBsiwtgG6VDRiI47wHNNbkOWmNi~-e0IlBrMUg6uGRO60JHTYLJevqxNReWq3CpVz17JIMuknS1S0iDymNIZljRhLfX1r~mZpWfh6LD2ulD58OOifeTKlDtAbU7IlFWqWcs7w6uN99pdwaKxsicnhRrMmswFlk~LFRinheSNfQqsVc-NRHN1oqe~JdvmiGUCjT2l2oxgA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"},{"id":112271373,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/112271373/thumbnails/1.jpg","file_name":"tsea_12_6_060301.pdf","download_url":"https://www.academia.edu/attachments/112271373/download_file","bulk_download_file_name":"Professor_Satish_G_Kandlikar_on_His_70th.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/112271373/tsea_12_6_060301-libre.pdf?1710053810=\u0026response-content-disposition=attachment%3B+filename%3DProfessor_Satish_G_Kandlikar_on_His_70th.pdf\u0026Expires=1734042053\u0026Signature=Shc6RsumOCYX09bR0afsdU6-kUqBNvqJnBPIGfJXFiJ6kE~5LKREbb1PVPl2b5FI8T4eFflmJQX1hk61PXl5iKs~7Jlr90GX1zhiIiwcc6tZTe2y5vUd046e0axDES-6t~CzeyzUhf9J3aS2FYWDJpXAJZUSQjzVQLC2rDetr0IV0pADIQTX98vwMByBqDuIGWAMxE-rroHbVIj6n3obf9aQKdW3eaMow70FjUeU4wbJZAX2xcIFQYgIoQYX5YxXVN7x0GxYKSPY61JtAyxwxVwlfetnVPJ8XQJH51wqL4QINryQYJ2a94Bw63rrqLB1w-HtWG3ELC-cWTB0z7GGig__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[{"id":40181197,"url":"http://asmedigitalcollection.asme.org/thermalscienceapplication/article-pdf/doi/10.1115/1.4048813/6599013/tsea_12_6_060301.pdf"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="116026246"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/116026246/Interface_Resistance_and_Thermal_Transport_in_Nano_Confined_Liquids"><img alt="Research paper thumbnail of Interface Resistance and Thermal Transport in Nano-Confined Liquids" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/116026246/Interface_Resistance_and_Thermal_Transport_in_Nano_Confined_Liquids">Interface Resistance and Thermal Transport in Nano-Confined Liquids</a></div><div class="wp-workCard_item"><span>Analysis, Design, and Application</span><span>, 2016</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Miniaturization of microelectronic device components and the development of nano– electro– mechan...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Miniaturization of microelectronic device components and the development of nano– electro– mechanical systems require advanced understanding of thermal transport in nano-materials and devices, where the atomic nature of matter becomes important and the validity of well-known continuum approximations becomes questionable [1]. In the case of semiconductors and insulators, heat is carried primarily by vibrations in the crystal lattice known as phonons. Phonon transport is classically studied by lattice dynamics based on harmonic wave theory in the frequency space. However, the anharmonic behaviors forming in a crystal structure cannot be described with this theory. Alternatively, the coupled motions of the atoms in real space can be modeled by molecular dynamics (MD), which provides the natural formation and transport of phonons via vibrations in the crystal lattice. Hence, MD has been widely employed to model phonon transfer in nanostructures and channels [2,3]. The performance and reliability of aforementioned devices strongly depend on the removal of heat either to the ambient or to a coolant. In such cases, phonon transport observed at the interfaces of nanoscale device components and surrounding/confined fluid, or at the interfaces of suspended nanoparticles and fluid medium in nano-fluidic coolants plays a critical role. At such interfaces, heat transfer is interrupted with a temperature jump due to the deficiency in overlap between phonon dispersions of dissimilar materials. Classical theories considering specular or diffuse phonon scattering predict the upper or lower limits of interface thermal resistance (ITR), while a detailed investigation of intermolecular interactions is needed to resolve interface phonon scattering mechanisms. In this chapter, we present interface phonon transfer at the molecular level, and investigate the validity of continuum hypothesis and Fourier’s law in nano-channels. First, we focus on the conventional ways of using MD for heat transport problems. Most of the previous MD research sandwiched a liquid domain between two solid walls and induced heat flux by fixing the wall CONTENTS</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="116026246"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="116026246"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 116026246; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=116026246]").text(description); $(".js-view-count[data-work-id=116026246]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 116026246; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='116026246']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 116026246, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=116026246]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":116026246,"title":"Interface Resistance and Thermal Transport in Nano-Confined Liquids","translated_title":"","metadata":{"abstract":"Miniaturization of microelectronic device components and the development of nano– electro– mechanical systems require advanced understanding of thermal transport in nano-materials and devices, where the atomic nature of matter becomes important and the validity of well-known continuum approximations becomes questionable [1]. 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In such cases, phonon transport observed at the interfaces of nanoscale device components and surrounding/confined fluid, or at the interfaces of suspended nanoparticles and fluid medium in nano-fluidic coolants plays a critical role. At such interfaces, heat transfer is interrupted with a temperature jump due to the deficiency in overlap between phonon dispersions of dissimilar materials. Classical theories considering specular or diffuse phonon scattering predict the upper or lower limits of interface thermal resistance (ITR), while a detailed investigation of intermolecular interactions is needed to resolve interface phonon scattering mechanisms. In this chapter, we present interface phonon transfer at the molecular level, and investigate the validity of continuum hypothesis and Fourier’s law in nano-channels. First, we focus on the conventional ways of using MD for heat transport problems. 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In the case of semiconductors and insulators, heat is carried primarily by vibrations in the crystal lattice known as phonons. Phonon transport is classically studied by lattice dynamics based on harmonic wave theory in the frequency space. However, the anharmonic behaviors forming in a crystal structure cannot be described with this theory. Alternatively, the coupled motions of the atoms in real space can be modeled by molecular dynamics (MD), which provides the natural formation and transport of phonons via vibrations in the crystal lattice. Hence, MD has been widely employed to model phonon transfer in nanostructures and channels [2,3]. The performance and reliability of aforementioned devices strongly depend on the removal of heat either to the ambient or to a coolant. 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</script> <div class="js-work-strip profile--work_container" data-work-id="116026244"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/116026244/Molecular_Based_Microfluidic_Simulation_Models"><img alt="Research paper thumbnail of Molecular-Based Microfluidic Simulation Models" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" rel="nofollow" href="https://www.academia.edu/116026244/Molecular_Based_Microfluidic_Simulation_Models">Molecular-Based Microfluidic Simulation Models</a></div><div class="wp-workCard_item"><span>Mechanical Engineering Series</span><span>, 2001</span></div><div class="wp-workCard_item 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class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/116026231/Charged_nanoporous_graphene_membranes_for_water_desalination">Charged nanoporous graphene membranes for water desalination</a></div><div class="wp-workCard_item"><span>Physical Chemistry Chemical Physics</span><span>, 2019</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Water desalination using positively and negatively charged single-layer nanoporous graphene membr...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Water desalination using positively and negatively charged single-layer 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wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/111910236/Self_Similar_Response_of_Electrode_Polarization_for_Binary_Electrolytes_in_Parallel_Plate_Capacitor_Systems">Self-Similar Response of Electrode Polarization for Binary Electrolytes in Parallel Plate Capacitor Systems</a></div><div class="wp-workCard_item"><span>Analytical Chemistry</span><span>, Aug 5, 2019</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Classical electrochemistry problem of polarization of an electrode immersed in a symmetric binary...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Classical electrochemistry problem of polarization of an electrode immersed in a symmetric binary electrolyte and subjected to a small external AC voltage is revisited. The Nernst-Planck equations are simplified to Debye-Falkenhagen equation, which is solved together with the Poisson equation, leading to analytical formulas for the space charge density and impedance of the system for two parallel plate electrodes. We then define a limit of thin electrical double layer and illustrate the emergence of the characteristic time scale, , a function of the Debye length, , the electrode separation distance, = , and the ionic diffusion coefficient. Normalizing the impedance magnitude with the solution resistance, and making the frequency dimensionless with the , we show that all analytical, numerical, and experimental data for different solution conductivities and electrode separation distances collapse onto a singlel curve. To account for the Stern layer effects, we conducted numerical simulations based on the modified Poisson-Nernst-Planck model and showed that the results agree with our analytical solution for a range of concentrations, with small discrepancies observed only above 0.1 M. Based on the proposed model, experimental impedance spectroscopy results at AC potentials can be used to obtain detailed knowledge of the corresponding surface (and space) charge densities on the electrodes.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="37765b25a7918c3e7b310530b83a8d34" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":109304049,"asset_id":111910236,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/109304049/download_file?st=MTczNDAzODQ1Myw4LjIyMi4yMDguMTQ2&st=MTczNDAzODQ1Myw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="111910236"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="111910236"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 111910236; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=111910236]").text(description); $(".js-view-count[data-work-id=111910236]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 111910236; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='111910236']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 111910236, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "37765b25a7918c3e7b310530b83a8d34" } } $('.js-work-strip[data-work-id=111910236]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":111910236,"title":"Self-Similar Response of Electrode Polarization for Binary Electrolytes in Parallel Plate Capacitor Systems","translated_title":"","metadata":{"publisher":"American Chemical Society","grobid_abstract":"Classical electrochemistry problem of polarization of an electrode immersed in a symmetric binary electrolyte and subjected to a small external AC voltage is revisited. 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To account for the Stern layer effects, we conducted numerical simulations based on the modified Poisson-Nernst-Planck model and showed that the results agree with our analytical solution for a range of concentrations, with small discrepancies observed only above 0.1 M. Based on the proposed model, experimental impedance spectroscopy results at AC potentials can be used to obtain detailed knowledge of the corresponding surface (and space) charge densities on the electrodes.","publication_date":{"day":5,"month":8,"year":2019,"errors":{}},"publication_name":"Analytical Chemistry","grobid_abstract_attachment_id":109304049},"translated_abstract":null,"internal_url":"https://www.academia.edu/111910236/Self_Similar_Response_of_Electrode_Polarization_for_Binary_Electrolytes_in_Parallel_Plate_Capacitor_Systems","translated_internal_url":"","created_at":"2023-12-20T05:35:44.068-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":103082674,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":109304049,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/109304049/thumbnails/1.jpg","file_name":"acs.analchem.9b0216220231220-1-j3v9wf.pdf","download_url":"https://www.academia.edu/attachments/109304049/download_file?st=MTczNDAzODQ1Myw4LjIyMi4yMDguMTQ2&st=MTczNDAzODQ1Myw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Self_Similar_Response_of_Electrode_Polar.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/109304049/acs.analchem.9b0216220231220-1-j3v9wf-libre.pdf?1703079930=\u0026response-content-disposition=attachment%3B+filename%3DSelf_Similar_Response_of_Electrode_Polar.pdf\u0026Expires=1734042053\u0026Signature=HvAHh8apkB~RAG18hyELiPSGOwK3xvYmatvuY2nghn4DOL8wyrZxFGF5GV-F-r3w~eUXjuJJncZwGPH5vmFpa4DR8hhH4j6pgrcznt1u16sX9PJIlRgXPoGa3XFyCKwz9hln2mdvxe2-oAaS0Id2y4ItPJwMjxMhT9bBZddJMzUw3spFQ1svM5tmNhSwjG1CpxukaUAVfDDWJyQNWOdIPW-pjKgWbX~sK8t5W8m7LWGE2DZ7NI~RYaT7u0KZqe1sd93~QE9UtE3QVqsjpILQSn4w3TbB9CqjhdG8YFcxmXXwPnSW5TixpZEFFYisGBOlufc2dgtlX4YBQM3DoDFrNg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Self_Similar_Response_of_Electrode_Polarization_for_Binary_Electrolytes_in_Parallel_Plate_Capacitor_Systems","translated_slug":"","page_count":29,"language":"en","content_type":"Work","summary":"Classical electrochemistry problem of polarization of an electrode immersed in a symmetric binary electrolyte and subjected to a small external AC voltage is revisited. The Nernst-Planck equations are simplified to Debye-Falkenhagen equation, which is solved together with the Poisson equation, leading to analytical formulas for the space charge density and impedance of the system for two parallel plate electrodes. We then define a limit of thin electrical double layer and illustrate the emergence of the characteristic time scale, , a function of the Debye length, , the electrode separation distance, = , and the ionic diffusion coefficient. Normalizing the impedance magnitude with the solution resistance, and making the frequency dimensionless with the , we show that all analytical, numerical, and experimental data for different solution conductivities and electrode separation distances collapse onto a singlel curve. To account for the Stern layer effects, we conducted numerical simulations based on the modified Poisson-Nernst-Planck model and showed that the results agree with our analytical solution for a range of concentrations, with small discrepancies observed only above 0.1 M. Based on the proposed model, experimental impedance spectroscopy results at AC potentials can be used to obtain detailed knowledge of the corresponding surface (and space) charge densities on the electrodes.","owner":{"id":103082674,"first_name":"Ali","middle_initials":null,"last_name":"Beskok","page_name":"ABeskok","domain_name":"smu","created_at":"2019-02-21T14:44:03.747-08:00","display_name":"Ali Beskok","url":"https://smu.academia.edu/ABeskok"},"attachments":[{"id":109304049,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/109304049/thumbnails/1.jpg","file_name":"acs.analchem.9b0216220231220-1-j3v9wf.pdf","download_url":"https://www.academia.edu/attachments/109304049/download_file?st=MTczNDAzODQ1Myw4LjIyMi4yMDguMTQ2&st=MTczNDAzODQ1Myw4LjIyMi4yMDguMTQ2&","bulk_download_file_name":"Self_Similar_Response_of_Electrode_Polar.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/109304049/acs.analchem.9b0216220231220-1-j3v9wf-libre.pdf?1703079930=\u0026response-content-disposition=attachment%3B+filename%3DSelf_Similar_Response_of_Electrode_Polar.pdf\u0026Expires=1734042053\u0026Signature=HvAHh8apkB~RAG18hyELiPSGOwK3xvYmatvuY2nghn4DOL8wyrZxFGF5GV-F-r3w~eUXjuJJncZwGPH5vmFpa4DR8hhH4j6pgrcznt1u16sX9PJIlRgXPoGa3XFyCKwz9hln2mdvxe2-oAaS0Id2y4ItPJwMjxMhT9bBZddJMzUw3spFQ1svM5tmNhSwjG1CpxukaUAVfDDWJyQNWOdIPW-pjKgWbX~sK8t5W8m7LWGE2DZ7NI~RYaT7u0KZqe1sd93~QE9UtE3QVqsjpILQSn4w3TbB9CqjhdG8YFcxmXXwPnSW5TixpZEFFYisGBOlufc2dgtlX4YBQM3DoDFrNg__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":72,"name":"Chemical Engineering","url":"https://www.academia.edu/Documents/in/Chemical_Engineering"},{"id":523,"name":"Chemistry","url":"https://www.academia.edu/Documents/in/Chemistry"},{"id":524,"name":"Analytical Chemistry","url":"https://www.academia.edu/Documents/in/Analytical_Chemistry"},{"id":26327,"name":"Medicine","url":"https://www.academia.edu/Documents/in/Medicine"},{"id":99790,"name":"Dielectric Spectroscopy","url":"https://www.academia.edu/Documents/in/Dielectric_Spectroscopy"},{"id":1276642,"name":"Electrolyte","url":"https://www.academia.edu/Documents/in/Electrolyte"},{"id":1746947,"name":"Nernst Equation","url":"https://www.academia.edu/Documents/in/Nernst_Equation"}],"urls":[{"id":37452637,"url":"https://doi.org/10.1021/acs.analchem.9b02162"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="111910235"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/111910235/Rapid_and_Sensitive_Detection_of_Nanomolecules_by_an_AC_Electrothermal_Flow_Facilitated_Impedance_Immunosensor"><img alt="Research paper thumbnail of Rapid and Sensitive Detection of Nanomolecules by an AC Electrothermal Flow Facilitated Impedance Immunosensor" class="work-thumbnail" src="https://attachments.academia-assets.com/109303971/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/111910235/Rapid_and_Sensitive_Detection_of_Nanomolecules_by_an_AC_Electrothermal_Flow_Facilitated_Impedance_Immunosensor">Rapid and Sensitive Detection of Nanomolecules by an AC Electrothermal Flow Facilitated Impedance Immunosensor</a></div><div class="wp-workCard_item"><span>Analytical Chemistry</span><span>, May 4, 2020</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Conventional immunosensors typically rely on passive diffusion dominated transport of analytes fo...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Conventional immunosensors typically rely on passive diffusion dominated transport of analytes for binding reaction and hence, it is limited by low sensitivity and long detection times. We report a simple and efficient impedance sensing method that can be utilized to overcome both sensitivity and diffusion limitations of immunosensors. This method incorporates the structural advantage of nanorod-covered interdigitated electrodes and the microstirring effect of AC electrothermal flow (ACET) with impedance spectroscopy. ACET flow induced by a biased AC electric field can rapidly convect the analyte onto nanorod structured electrodes within a few seconds and enriches the number of binding molecules because of excessive effective surface area. We performed numerical simulations to investigate the effect of ACET flow on the biosensor performance. The results indicated that AC bias to the side electrodes could induce fast convective flow, which facilitates the transport of the target molecules to the binding region located in the middle as a floating electrode. The temperature rise due to the Joule heating effect was measured using a thermoreflectance imaging method to find the optimum device operation conditions. The change of impedance caused by the receptors-target molecules binding at the sample/electrode interface was experimentally measured and quantified in real-time using the impedance spectroscopy technique. We observed that the impedance sensing method exhibited extremely fast response compared with those under no bias conditions. The measured impedance change can reach saturation in a minute. Compared to the conventional incubation method, the ACET flow enhanced method is faster in its reaction time, and the detection limit can be reduced to 1 ng/ml. In this work, we demonstrate that this sensor technology is promising and reliable for rapid, sensitive, and real-time monitoring biomolecules in biologically relevant media such as blood, urine, and saliva.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="ce611c41ff61091767e46c059b20b71e" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":109303971,"asset_id":111910235,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/109303971/download_file?st=MTczNDAzODQ1Myw4LjIyMi4yMDguMTQ2&st=MTczNDAzODQ1Myw4LjIyMi4yMDguMTQ2&s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="111910235"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="111910235"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 111910235; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=111910235]").text(description); $(".js-view-count[data-work-id=111910235]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 111910235; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='111910235']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span><span><script>$(function() { new Works.PaperRankView({ workId: 111910235, container: "", }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-f77ea15d77ce96025a6048a514272ad8becbad23c641fc2b3bd6e24ca6ff1932.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "ce611c41ff61091767e46c059b20b71e" } } $('.js-work-strip[data-work-id=111910235]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":111910235,"title":"Rapid and Sensitive Detection of Nanomolecules by an AC Electrothermal Flow Facilitated Impedance Immunosensor","translated_title":"","metadata":{"publisher":"American Chemical Society","grobid_abstract":"Conventional immunosensors typically rely on passive diffusion dominated transport of analytes for binding reaction and hence, it is limited by low sensitivity and long detection times. 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The temperature rise due to the Joule heating effect was measured using a thermoreflectance imaging method to find the optimum device operation conditions. The change of impedance caused by the receptors-target molecules binding at the sample/electrode interface was experimentally measured and quantified in real-time using the impedance spectroscopy technique. We observed that the impedance sensing method exhibited extremely fast response compared with those under no bias conditions. The measured impedance change can reach saturation in a minute. Compared to the conventional incubation method, the ACET flow enhanced method is faster in its reaction time, and the detection limit can be reduced to 1 ng/ml. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") }); </script> <div class="js-work-strip profile--work_container" data-work-id="111910234"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/111910234/Surface_Wettability_Effects_on_Evaporating_Meniscus_in_Nanochannels"><img alt="Research paper thumbnail of Surface Wettability Effects on Evaporating Meniscus in Nanochannels" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/111910234/Surface_Wettability_Effects_on_Evaporating_Meniscus_in_Nanochannels">Surface Wettability Effects on Evaporating Meniscus in Nanochannels</a></div><div class="wp-workCard_item"><span>Social Science Research Network</span><span>, 2022</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="111910234"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span><span id="work-strip-rankings-button-container"></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="111910234"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 111910234; 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