{"id":"https://openalex.org/W4405626779","doi":"https://doi.org/10.1109/3dv69130.2026.00119","title":"Data-Efficient Inference of Neural Fluid Fields via SciML Foundation Model","display_name":"Data-Efficient Inference of Neural Fluid Fields via SciML Foundation Model","publication_year":2026,"publication_date":"2026-03-20","ids":{"openalex":"https://openalex.org/W4405626779","doi":"https://doi.org/10.1109/3dv69130.2026.00119"},"language":"en","primary_location":{"id":"doi:10.1109/3dv69130.2026.00119","is_oa":false,"landing_page_url":"https://doi.org/10.1109/3dv69130.2026.00119","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 International Conference on 3D Vision (3DV)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2412.13897","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103092570","display_name":"Yuqiu Liu","orcid":"https://orcid.org/0009-0008-5708-4467"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Yuqiu Liu","raw_affiliation_strings":["Simon Fraser University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Simon Fraser University","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102925691","display_name":"Jingxuan Xu","orcid":"https://orcid.org/0000-0001-9434-6480"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingxuan Xu","raw_affiliation_strings":["Beijing Jiaotong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093949538","display_name":"Mauricio Soroco","orcid":null},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mauricio Soroco","raw_affiliation_strings":["Simon Fraser University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Simon Fraser University","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087043856","display_name":"Yunchao Wei","orcid":"https://orcid.org/0000-0002-2812-8781"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunchao Wei","raw_affiliation_strings":["Beijing Jiaotong University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013562664","display_name":"Wuyang Chen","orcid":"https://orcid.org/0000-0002-7746-4191"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Wuyang Chen","raw_affiliation_strings":["Simon Fraser University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Simon Fraser University","institution_ids":["https://openalex.org/I18014758"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00404312,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.8859000205993652,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.8859000205993652,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.7936999797821045,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14470","display_name":"Advanced Data Processing Techniques","score":0.7387999892234802,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/foundation","display_name":"Foundation (evidence)","score":0.7042995691299438},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6877989768981934},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46971219778060913},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4619382619857788},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3883303105831146},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.10383963584899902}],"concepts":[{"id":"https://openalex.org/C2780966255","wikidata":"https://www.wikidata.org/wiki/Q5474306","display_name":"Foundation (evidence)","level":2,"score":0.7042995691299438},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6877989768981934},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46971219778060913},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4619382619857788},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3883303105831146},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.10383963584899902},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/3dv69130.2026.00119","is_oa":false,"landing_page_url":"https://doi.org/10.1109/3dv69130.2026.00119","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2026 International Conference on 3D Vision (3DV)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2412.13897","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2412.13897","pdf_url":"https://arxiv.org/pdf/2412.13897","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:doi:10.48550/arxiv.2412.13897","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2412.13897","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2412.13897","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2412.13897","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2412.13897","pdf_url":"https://arxiv.org/pdf/2412.13897","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4405626779.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2381393187","https://openalex.org/W2332779545","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W2358060160","https://openalex.org/W2035483685"],"abstract_inverted_index":{"Recent":[0],"developments":[1],"in":[2,9,148,164,175,190],"3D":[3,103],"vision":[4,80],"have":[5],"enabled":[6],"significant":[7,146],"progress":[8],"inferring":[10,68,101],"neural":[11,124],"fluid":[12,18,69,104,125,137,192],"fields":[13,126],"and":[14,38,59,115,136,152],"realistic":[15],"rendering":[16],"of":[17,26,50,64,74,100,118,178,186],"dynamics.":[19,193],"However,":[20],"these":[21,75],"methods":[22],"require":[23],"dense":[24],"captures":[25],"real-world":[27,79,102,191],"flow,":[28],"which":[29],"demand":[30],"specialized":[31],"lab":[32],"setups,":[33],"making":[34],"the":[35,72,97,176,183],"process":[36],"costly":[37],"challenging.":[39],"Scientific":[40],"machine":[41],"learning":[42],"(SciML)":[43],"foundation":[44,76,92,120,142,188],"models,":[45],"pretrained":[46],"on":[47],"extensive":[48],"simulations":[49],"partial":[51],"differential":[52],"equations":[53],"(PDEs),":[54],"encode":[55],"rich":[56],"multiphysics":[57],"knowledge":[58],"thus":[60],"provide":[61],"promising":[62],"sources":[63],"domain":[65],"priors":[66],"for":[67],"fields.":[70],"Nevertheless,":[71],"transferability":[73],"models":[77,93,189],"to":[78],"problems":[81],"remains":[82],"largely":[83],"underexplored.":[84],"In":[85],"this":[86],"work,":[87],"we":[88],"demonstrate":[89,145],"that":[90,132],"SciML":[91,119,187],"can":[94],"significantly":[95],"reduce":[96],"data":[98],"costs":[99],"dynamics":[105],"with":[106,127,167],"improved":[107],"generalization.":[108],"Our":[109],"method":[110],"leverages":[111],"strong":[112],"forecasting":[113],"capabilities":[114],"meaningful":[116],"representations":[117],"models.":[121],"We":[122,144,194],"equip":[123],"a":[128],"novel":[129],"collaborative":[130],"training":[131,179],"utilizes":[133],"augmented":[134],"frames,":[135,180],"features":[138],"extracted":[139],"by":[140],"our":[141,196],"model.":[143],"advancements":[147],"both":[149],"quantitative":[150],"metrics":[151],"visual":[153],"quality":[154],"over":[155],"previous":[156],"methods,":[157],"improving":[158],"9\u223c36%":[159],"peak":[160],"signal-to-noise":[161],"ratio":[162],"(PSNR)":[163],"future":[165],"prediction":[166],"<tex":[168],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[169],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$25":[170],"\\sim":[171],"50":[172],"\\%$</tex>":[173],"reduction":[174],"number":[177],"thereby":[181],"showcasing":[182],"practical":[184],"applicability":[185],"release":[195],"code":[197],"at:":[198],"https://github.com/delta-lab-ai/SciML-HY.":[199]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
