{"id":"https://openalex.org/W7204874272","doi":"https://doi.org/10.48550/arxiv.2608.29939","title":"Data-Driven Design Optimization of Streaming-Potential-Mediated Electrokinetic Transport of Viscoelastic Fluids in Microchannels","display_name":"Data-Driven Design Optimization of Streaming-Potential-Mediated Electrokinetic Transport of Viscoelastic Fluids in Microchannels","publication_year":2026,"publication_date":"2026-08-30","ids":{"openalex":"https://openalex.org/W7204874272","doi":"https://doi.org/10.48550/arxiv.2608.29939"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2608.29939","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2608.29939","pdf_url":"https://arxiv.org/pdf/2608.29939","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2608.29939","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5134773043","display_name":"Ankan Basu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I170979836","display_name":"Jadavpur University","ror":"https://ror.org/02af4h012","country_code":"IN","type":"education","lineage":["https://openalex.org/I170979836"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Basu, Ankan","raw_affiliation_strings":["Department of Computer Science and Engineering , Jadavpur University , Kolkata , India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering , Jadavpur University , Kolkata , India","institution_ids":["https://openalex.org/I170979836"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005985826","display_name":"Sumanta Banerjee","orcid":"https://orcid.org/0000-0002-8179-891X","observed_orcids":["https://orcid.org/0000-0002-8179-891X"]},"institutions":[{"id":"https://openalex.org/I4405272644","display_name":"Heritage Institute of Technology","ror":"https://ror.org/04gbnn054","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405272644"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Banerjee, Sumanta","raw_affiliation_strings":["Department of Mechanical Engineering , Heritage Institute of Technology , Kolkata , India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering , Heritage Institute of Technology , Kolkata , India","institution_ids":["https://openalex.org/I4405272644"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10412","display_name":"Microfluidic and Capillary Electrophoresis Applications","score":0.37299999594688416,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10412","display_name":"Microfluidic and Capillary Electrophoresis Applications","score":0.37299999594688416,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12274","display_name":"Electrostatics and Colloid Interactions","score":0.09719999879598618,"subfield":{"id":"https://openalex.org/subfields/1606","display_name":"Physical and Theoretical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13046","display_name":"Electrokinetic Soil Remediation Techniques","score":0.06019999831914902,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/streaming-potential","display_name":"streaming potential","score":0.949999988079071},{"id":"https://openalex.org/keywords/electrokinetic-transport","display_name":"electrokinetic transport","score":0.9440000057220459},{"id":"https://openalex.org/keywords/viscoelastic-fluids","display_name":"viscoelastic fluids","score":0.9980000257492065},{"id":"https://openalex.org/keywords/phan-thien-tanner-model","display_name":"Phan-Thien-Tanner model","score":0.8859999775886536},{"id":"https://openalex.org/keywords/slit-microchannel","display_name":"slit microchannel","score":0.8330000042915344},{"id":"https://openalex.org/keywords/pressure-driven-flow","display_name":"pressure-driven flow","score":0.7590000033378601},{"id":"https://openalex.org/keywords/surrogate-modeling","display_name":"surrogate models","score":0.6970000267028809},{"id":"https://openalex.org/keywords/machine-learning","display_name":"machine learning","score":0.7519999742507935},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"multi-objective optimization","score":0.9319999814033508},{"id":"https://openalex.org/keywords/zeta-potential","display_name":"zeta potential","score":0.8619999885559082},{"id":"https://openalex.org/keywords/microfluidics","display_name":"microfluidics","score":0.6759999990463257},{"id":"https://openalex.org/keywords/design-optimization","display_name":"design optimization","score":0.6420000195503235}],"concepts":[{"id":"https://openalex.org/C27703432","wikidata":"https://www.wikidata.org/wiki/Q2778467","display_name":"Electrokinetic phenomena","level":2,"score":0.9063000082969666},{"id":"https://openalex.org/C186541917","wikidata":"https://www.wikidata.org/wiki/Q910483","display_name":"Viscoelasticity","level":2,"score":0.7109000086784363},{"id":"https://openalex.org/C57879066","wikidata":"https://www.wikidata.org/wiki/Q41217","display_name":"Mechanics","level":1,"score":0.5669000148773193},{"id":"https://openalex.org/C8673954","wikidata":"https://www.wikidata.org/wiki/Q138845","display_name":"Microfluidics","level":2,"score":0.5217000246047974},{"id":"https://openalex.org/C1633027","wikidata":"https://www.wikidata.org/wiki/Q815820","display_name":"Computational fluid dynamics","level":2,"score":0.45739999413490295},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.4447999894618988},{"id":"https://openalex.org/C30311675","wikidata":"https://www.wikidata.org/wiki/Q7622689","display_name":"Streaming current","level":3,"score":0.42419999837875366},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.4223000109195709},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4058000147342682},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.39719998836517334},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.39629998803138733},{"id":"https://openalex.org/C90278072","wikidata":"https://www.wikidata.org/wiki/Q216320","display_name":"Fluid dynamics","level":2,"score":0.38609999418258667},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.3750999867916107},{"id":"https://openalex.org/C131675550","wikidata":"https://www.wikidata.org/wiki/Q7646884","display_name":"Surrogate model","level":2,"score":0.3734999895095825},{"id":"https://openalex.org/C172120300","wikidata":"https://www.wikidata.org/wiki/Q1134348","display_name":"Volumetric flow rate","level":2,"score":0.37299999594688416},{"id":"https://openalex.org/C86181022","wikidata":"https://www.wikidata.org/wiki/Q196823","display_name":"Zeta potential","level":3,"score":0.35569998621940613},{"id":"https://openalex.org/C186394612","wikidata":"https://www.wikidata.org/wiki/Q7098942","display_name":"Optimal design","level":2,"score":0.35190001130104065},{"id":"https://openalex.org/C43133876","wikidata":"https://www.wikidata.org/wiki/Q172145","display_name":"Fluid mechanics","level":2,"score":0.34860000014305115},{"id":"https://openalex.org/C24872484","wikidata":"https://www.wikidata.org/wiki/Q126818","display_name":"Dimensionless quantity","level":2,"score":0.34299999475479126},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.3418000042438507},{"id":"https://openalex.org/C127172972","wikidata":"https://www.wikidata.org/wiki/Q128709","display_name":"Viscosity","level":2,"score":0.3140999972820282},{"id":"https://openalex.org/C48753275","wikidata":"https://www.wikidata.org/wiki/Q11216","display_name":"Numerical analysis","level":2,"score":0.30399999022483826},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.2865000069141388},{"id":"https://openalex.org/C76969082","wikidata":"https://www.wikidata.org/wiki/Q486902","display_name":"Mathematical model","level":2,"score":0.2856999933719635},{"id":"https://openalex.org/C63662833","wikidata":"https://www.wikidata.org/wiki/Q6839341","display_name":"Microchannel","level":2,"score":0.27880001068115234},{"id":"https://openalex.org/C500300565","wikidata":"https://www.wikidata.org/wiki/Q925667","display_name":"Computer simulation","level":2,"score":0.27410000562667847},{"id":"https://openalex.org/C2742236","wikidata":"https://www.wikidata.org/wiki/Q924713","display_name":"Efficient energy use","level":2,"score":0.2623000144958496}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2608.29939","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2608.29939","pdf_url":"https://arxiv.org/pdf/2608.29939","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2608.29939","doi":"https://doi.org/10.48550/arxiv.2608.29939","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2608.29939","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2608.29939","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2608.29939","pdf_url":"https://arxiv.org/pdf/2608.29939","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5378999710083008,"id":"https://metadata.un.org/sdg/9"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7204874272.pdf","grobid_xml":"https://content.openalex.org/works/W7204874272.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W2019704130","https://openalex.org/W2023214536","https://openalex.org/W2126105956","https://openalex.org/W2525604860","https://openalex.org/W2806777589","https://openalex.org/W3021613070","https://openalex.org/W3028048332","https://openalex.org/W4400950888","https://openalex.org/W4408820195","https://openalex.org/W4414853153"],"related_works":["https://openalex.org/W3028048332","https://openalex.org/W4406999164","https://openalex.org/W4415650361","https://openalex.org/W4224035125","https://openalex.org/W4414853153","https://openalex.org/W4224279113","https://openalex.org/W2806777589","https://openalex.org/W2066676274","https://openalex.org/W2525604860","https://openalex.org/W4297546436"],"abstract_inverted_index":{"Streaming-potential-mediated":[0],"transport":[1,63],"of":[2,60,64,82,200],"viscoelastic":[3,99],"fluids":[4,67],"has":[5],"attracted":[6],"research":[7],"attention":[8],"owing":[9],"to":[10,109,156],"its":[11],"applications":[12],"in":[13,25,68],"electrokinetic":[14,62,192],"energy":[15,130,163],"conversion":[16,131,164],"and":[17,22,42,97,119,128,166,186,213],"microfluidic":[18,193],"transport.":[19],"Existing":[20],"analytical":[21],"semi-analytical":[23],"models":[24],"published":[26],"literature":[27],"provide":[28],"valuable":[29],"physical":[30],"insights,":[31],"but":[32],"require":[33],"repeated":[34,180],"numerical":[35,74,181],"evaluations":[36],"for":[37,56,191,209],"exploring":[38],"large":[39],"design":[40,58,189,212],"spaces":[41],"identifying":[43],"the":[44,88,91,94,98,112,116,120,124,141,146,198],"optimal":[45],"operating":[46,158],"conditions.":[47],"In":[48],"this":[49],"work,":[50],"a":[51,69,79,152],"surrogate-assisted":[52],"framework":[53],"is":[54,76,106,149],"developed":[55],"rapid":[57],"optimization":[59,154],"pressure-driven":[61],"simplified":[65],"Phan-Thien-Tanner":[66],"slit":[70],"microchannel.":[71],"A":[72,101],"high-fidelity":[73],"database":[75],"generated":[77],"over":[78],"broad":[80],"range":[81],"governing":[83,117],"dimensionless":[84],"parameters,":[85],"which":[86],"includes":[87],"zeta":[89],"potential,":[90,122],"Debye":[92],"parameter,":[93],"Dukhin":[95],"number,":[96],"parameter.":[100],"Machine":[102],"Learning":[103],"surrogate":[104,207],"model":[105],"subsequently":[107],"trained":[108],"accurately":[110],"approximate":[111],"nonlinear":[113],"relationship":[114],"between":[115],"parameters":[118,185],"streaming":[121,142],"while":[123],"volumetric":[125,167],"flow":[126,168],"rate":[127],"hydroelectric":[129],"efficiency":[132,165],"were":[133],"calculated":[134],"from":[135],"closed":[136],"form":[137],"equation":[138],"by":[139,145],"using":[140],"potential":[143,199],"predicted":[144],"surrogate.":[147],"This":[148],"coupled":[150],"with":[151,179,205],"multi-objective":[153],"strategy":[155],"identify":[157],"conditions":[159],"that":[160],"simultaneously":[161],"maximize":[162],"rate.":[169],"The":[170,195],"proposed":[171],"methodology":[172],"can":[173],"significantly":[174],"accelerate":[175],"parametric":[176],"exploration":[177],"compared":[178],"simulations":[182],"across":[183],"different":[184],"provides":[187],"practical":[188],"guidelines":[190],"devices.":[194],"study":[196],"demonstrates":[197],"combining":[201],"computational":[202],"fluid":[203],"mechanics":[204],"data-driven":[206],"modeling":[208],"efficient":[210],"engineering":[211],"optimization.":[214]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2026-09-02T00:00:00"}