{"id":"https://openalex.org/W4409909474","doi":"https://doi.org/10.1007/s00397-025-01491-1","title":"Multiscale simulations for viscoelastic fluids with approximate constitutive models derived by a sparse identification method","display_name":"Multiscale simulations for viscoelastic fluids with approximate constitutive models derived by a sparse identification method","publication_year":2025,"publication_date":"2025-04-29","ids":{"openalex":"https://openalex.org/W4409909474","doi":"https://doi.org/10.1007/s00397-025-01491-1"},"language":"en","primary_location":{"id":"doi:10.1007/s00397-025-01491-1","doi":"https://doi.org/10.1007/s00397-025-01491-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00397-025-01491-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00397-025-01491-1.pdf","source":{"id":"https://openalex.org/S24603639","display_name":"Rheologica Acta","issn_l":"0035-4511","issn":["0035-4511","1435-1528"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-c","jufo-1","norway-1","poland-100","russia-white-list-1"],"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Rheologica Acta","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s00397-025-01491-1.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028938531","display_name":"Takeshi Sato","orcid":"https://orcid.org/0000-0002-7577-1825","observed_orcids":["https://orcid.org/0000-0002-7577-1825"]},"institutions":[{"id":"https://openalex.org/I10091056","display_name":"Kanazawa University","ror":"https://ror.org/02hwp6a56","country_code":"JP","type":"education","lineage":["https://openalex.org/I10091056"]},{"id":"https://openalex.org/I4405286432","display_name":"Advanced Manufacturing Technology Institute, Kanazawa University","ror":"https://ror.org/0240r8h84","country_code":"JP","type":"facility","lineage":["https://openalex.org/I10091056","https://openalex.org/I4405286432"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Takeshi Sato","raw_affiliation_strings":["Advanced Manufacturing Technology Institute, Kanazawa University, Kanazawa, Ishikawa, 920-1192, Japan"],"raw_orcid":"https://orcid.org/0000-0002-7577-1825","affiliations":[{"raw_affiliation_string":"Advanced Manufacturing Technology Institute, Kanazawa University, Kanazawa, Ishikawa, 920-1192, Japan","institution_ids":["https://openalex.org/I10091056","https://openalex.org/I4405286432"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068303878","display_name":"Souta Miyamoto","orcid":"https://orcid.org/0009-0008-5873-0010","observed_orcids":["https://orcid.org/0009-0008-5873-0010"]},"institutions":[{"id":"https://openalex.org/I22299242","display_name":"Kyoto University","ror":"https://ror.org/02kpeqv85","country_code":"JP","type":"education","lineage":["https://openalex.org/I22299242"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Souta Miyamoto","raw_affiliation_strings":["Department of Chemical Engineering, Kyoto University, Kyoto, 615-8510, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Chemical Engineering, Kyoto University, Kyoto, 615-8510, Japan","institution_ids":["https://openalex.org/I22299242"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5028938531"],"corresponding_institution_ids":["https://openalex.org/I10091056","https://openalex.org/I4405286432"],"apc_list":{"value":3990,"currency":"USD","value_usd":3990},"apc_paid":{"value":3990,"currency":"USD","value_usd":3990},"fwci":0.8402,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.62712868,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"64","issue":"9-10","first_page":"443","last_page":"459"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11379","display_name":"Rheology and Fluid Dynamics Studies","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/1507","display_name":"Fluid Flow and Transfer Processes"},"field":{"id":"https://openalex.org/fields/15","display_name":"Chemical Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11379","display_name":"Rheology and Fluid Dynamics Studies","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/1507","display_name":"Fluid Flow and Transfer Processes"},"field":{"id":"https://openalex.org/fields/15","display_name":"Chemical Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.0032999999821186066,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.0006000000284984708,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/viscoelastic-fluids","display_name":"viscoelastic fluids","score":0.8669999837875366},{"id":"https://openalex.org/keywords/multiscale-modeling","display_name":"multiscale modeling","score":0.8880000114440918},{"id":"https://openalex.org/keywords/sparse-identification","display_name":"sparse identification","score":0.746999979019165},{"id":"https://openalex.org/keywords/machine-learning","display_name":"machine learning","score":0.652999997138977},{"id":"https://openalex.org/keywords/constitutive-model","display_name":"constitutive equations","score":0.9390000104904175},{"id":"https://openalex.org/keywords/dumbbell-model","display_name":"dumbbell model","score":0.9760000109672546},{"id":"https://openalex.org/keywords/hookean-springs","display_name":"Hookean springs","score":0.9810000061988831},{"id":"https://openalex.org/keywords/computational-rheology","display_name":"computational rheology","score":0.8080000281333923},{"id":"https://openalex.org/keywords/shear-rheology","display_name":"shear rheology","score":0.7519999742507935},{"id":"https://openalex.org/keywords/parallel-plate-flow","display_name":"parallel plate flow","score":0.6899999976158142}],"concepts":[{"id":"https://openalex.org/C186541917","wikidata":"https://www.wikidata.org/wiki/Q910483","display_name":"Viscoelasticity","level":2,"score":0.8231289386749268},{"id":"https://openalex.org/C202973686","wikidata":"https://www.wikidata.org/wiki/Q1937401","display_name":"Constitutive equation","level":3,"score":0.6517289876937866},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5631764531135559},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.32404717803001404},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.20592164993286133},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.18036073446273804},{"id":"https://openalex.org/C135628077","wikidata":"https://www.wikidata.org/wiki/Q220184","display_name":"Finite element method","level":2,"score":0.12580198049545288},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.09333217144012451},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s00397-025-01491-1","doi":"https://doi.org/10.1007/s00397-025-01491-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00397-025-01491-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00397-025-01491-1.pdf","source":{"id":"https://openalex.org/S24603639","display_name":"Rheologica Acta","issn_l":"0035-4511","issn":["0035-4511","1435-1528"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-c","jufo-1","norway-1","poland-100","russia-white-list-1"],"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Rheologica Acta","raw_type":"journal-article"},{"id":"pmh:oai:irdb.nii.ac.jp:01288:0006869967","doi":null,"is_oa":true,"landing_page_url":"https://kanazawa-u.repo.nii.ac.jp/records/2003090","pdf_url":null,"source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Rheologica Acta","raw_type":"journal article"}],"best_oa_location":{"id":"doi:10.1007/s00397-025-01491-1","doi":"https://doi.org/10.1007/s00397-025-01491-1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00397-025-01491-1","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00397-025-01491-1.pdf","source":{"id":"https://openalex.org/S24603639","display_name":"Rheologica Acta","issn_l":"0035-4511","issn":["0035-4511","1435-1528"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-c","jufo-1","norway-1","poland-100","russia-white-list-1"],"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Rheologica Acta","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G8904343590","display_name":null,"funder_award_id":"JPMJPR22O3","funder_id":"https://openalex.org/F4320338111","funder_display_name":"Precursory Research for Embryonic Science and Technology"}],"funders":[{"id":"https://openalex.org/F4320318231","display_name":"Kanazawa University","ror":"https://ror.org/02hwp6a56"},{"id":"https://openalex.org/F4320338111","display_name":"Precursory Research for Embryonic Science and Technology","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4409909474.pdf","grobid_xml":"https://content.openalex.org/works/W4409909474.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W227143473","https://openalex.org/W1916853115","https://openalex.org/W1965459424","https://openalex.org/W1980883822","https://openalex.org/W1992504906","https://openalex.org/W1995062017","https://openalex.org/W1996224306","https://openalex.org/W1999110794","https://openalex.org/W2020925091","https://openalex.org/W2038218538","https://openalex.org/W2038599474","https://openalex.org/W2055445961","https://openalex.org/W2064685495","https://openalex.org/W2100360666","https://openalex.org/W2131057369","https://openalex.org/W2135046866","https://openalex.org/W2146838586","https://openalex.org/W2237102931","https://openalex.org/W2239232218","https://openalex.org/W2314271523","https://openalex.org/W2497061244","https://openalex.org/W2525748878","https://openalex.org/W2754286478","https://openalex.org/W2907104425","https://openalex.org/W2945532524","https://openalex.org/W3022152375","https://openalex.org/W3028073062","https://openalex.org/W3045009015","https://openalex.org/W3172050125","https://openalex.org/W3215447930","https://openalex.org/W4234698323","https://openalex.org/W4311511743","https://openalex.org/W4380489403","https://openalex.org/W4382138811","https://openalex.org/W4385738970","https://openalex.org/W4386574056","https://openalex.org/W4390533686","https://openalex.org/W4403430142","https://openalex.org/W4403709496","https://openalex.org/W4403998114","https://openalex.org/W4404998427"],"related_works":["https://openalex.org/W4392792184","https://openalex.org/W4403709496","https://openalex.org/W4380489403","https://openalex.org/W4417143051","https://openalex.org/W2754286478","https://openalex.org/W3022152375","https://openalex.org/W4382138811","https://openalex.org/W7117086825","https://openalex.org/W4393946634","https://openalex.org/W2148505721"],"abstract_inverted_index":{"Abstract":[0],"Accurately":[1],"resolving":[2],"spatially":[3,73],"inhomogeneous":[4,74],"flows":[5],"is":[6,177],"one":[7],"of":[8,12,131,185,196],"the":[9,48,91,96,111,114,118,128,132,136,147,163,167,171,182],"essential":[10],"roles":[11],"computational":[13,34,44,49,191],"rheology.":[14],"Compared":[15],"to":[16,57,71,146,194],"conventional":[17,198],"flow":[18,151],"predictions":[19,38],"using":[20,80],"constitutive":[21],"models":[22,29],"(CMs),":[23],"multiscale":[24],"simulations":[25],"(MSSs),":[26],"where":[27],"mesoscopic":[28,93],"are":[30,40],"embedded":[31],"in":[32,51,166],"macroscopic":[33],"domains,":[35],"offer":[36],"accurate":[37],"but":[39],"accompanied":[41],"by":[42,90,156],"high":[43],"costs.":[45],"To":[46],"avoid":[47],"issue":[50],"these":[52,142],"MSSs":[53],"(which":[54],"we":[55,60,67],"refer":[56],"as":[58,69],"\u201cfull\u201d-MSSs),":[59],"employed":[61],"machine":[62],"learning":[63],"(ML)":[64],"techniques,":[65],"which":[66],"denote":[68],"\u201cML\u201d-MSS,":[70],"predict":[72],"flows.":[75],"We":[76,160],"obtained":[77],"approximate":[78,124],"CMs":[79,143],"a":[81,150,190,197],"sparse":[82,106],"identification":[83,107],"algorithm":[84,108],"for":[85,113,149],"training":[86],"data":[87],"numerically":[88],"generated":[89],"dumbbell-based":[92],"model":[94,116,134],"with":[95,117,135,141,189],"Hookean":[97,119],"or":[98],"finite":[99],"extensible":[100],"nonlinear":[101],"elastic":[102],"(FENE)":[103],"spring.":[104,138],"Our":[105],"accurately":[109],"identifies":[110],"CM":[112,125],"dumbbell":[115,133],"spring":[120],"and":[121,175],"provides":[122],"an":[123,157],"that":[126,162,195],"reproduces":[127],"shear":[129],"rheology":[130],"FENE":[137],"The":[139],"ML-MSSs":[140],"were":[144],"compared":[145],"full-MSSs":[148],"between":[152,173],"parallel":[153],"plates":[154],"driven":[155],"external":[158],"force.":[159],"confirmed":[161],"relative":[164],"error":[165],"primary":[168],"velocity":[169],"along":[170],"centerline":[172],"ML-MSS":[174],"full-MSS":[176],"within":[178],"approximately":[179],"20%,":[180],"indicating":[181],"fundamental":[183],"validity":[184],"our":[186],"data-driven":[187],"approach,":[188],"time":[192],"equivalent":[193],"approach":[199],"employing":[200],"CMs.":[201]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2025-04-30T00:00:00"}