{"id":"https://openalex.org/W4388581039","doi":"https://doi.org/10.1145/3624062.3626084","title":"Entropy-driven Optimal Sub-sampling of Fluid Dynamics for Developing Machine-learned Surrogates","display_name":"Entropy-driven Optimal Sub-sampling of Fluid Dynamics for Developing Machine-learned Surrogates","publication_year":2023,"publication_date":"2023-11-10","ids":{"openalex":"https://openalex.org/W4388581039","doi":"https://doi.org/10.1145/3624062.3626084"},"language":"en","primary_location":{"id":"doi:10.1145/3624062.3626084","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3624062.3626084","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the SC '23 Workshops of the International Conference on High Performance Computing, Network, Storage, and Analysis","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.osti.gov/servlets/purl/2326311","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018102608","display_name":"Wesley Brewer","orcid":"https://orcid.org/0000-0002-3639-3956"},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wesley Brewer","raw_affiliation_strings":["Oak Ridge National Laboratory, United States of America"],"raw_orcid":"https://orcid.org/0000-0002-3639-3956","affiliations":[{"raw_affiliation_string":"Oak Ridge National Laboratory, United States of America","institution_ids":["https://openalex.org/I1289243028"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079796206","display_name":"Daniel Mart\u00ednez","orcid":"https://orcid.org/0009-0009-4156-0112"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Daniel Martinez","raw_affiliation_strings":["Science &amp; Technology Corporation, United States of America"],"raw_orcid":"https://orcid.org/0009-0009-4156-0112","affiliations":[{"raw_affiliation_string":"Science &amp; Technology Corporation, United States of America","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033136589","display_name":"Muralikrishnan Gopalakrishnan Meena","orcid":"https://orcid.org/0000-0003-4048-4639"},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Muralikrishnan Gopalakrishnan Meena","raw_affiliation_strings":["Oak Ridge National Laboratory, United States of America"],"raw_orcid":"https://orcid.org/0000-0003-4048-4639","affiliations":[{"raw_affiliation_string":"Oak Ridge National Laboratory, United States of America","institution_ids":["https://openalex.org/I1289243028"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051291589","display_name":"Aditya Kashi","orcid":"https://orcid.org/0000-0003-2589-3792"},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aditya Kashi","raw_affiliation_strings":["Oak Ridge National Laboratory, United States of America"],"raw_orcid":"https://orcid.org/0000-0003-2589-3792","affiliations":[{"raw_affiliation_string":"Oak Ridge National Laboratory, United States of America","institution_ids":["https://openalex.org/I1289243028"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017292297","display_name":"Katarzyna Borowiec","orcid":"https://orcid.org/0000-0003-3591-1739"},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Katarzyna Borowiec","raw_affiliation_strings":["Oak Ridge National Laboratory, United States of America"],"raw_orcid":"https://orcid.org/0000-0003-3591-1739","affiliations":[{"raw_affiliation_string":"Oak Ridge National Laboratory, United States of America","institution_ids":["https://openalex.org/I1289243028"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050820498","display_name":"Siyan Liu","orcid":"https://orcid.org/0000-0003-2017-3251"},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Siyan Liu","raw_affiliation_strings":["Oak Ridge National Laboratory, United States of America"],"raw_orcid":"https://orcid.org/0000-0003-2017-3251","affiliations":[{"raw_affiliation_string":"Oak Ridge National Laboratory, United States of America","institution_ids":["https://openalex.org/I1289243028"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093240728","display_name":"Christopher Pilmaier","orcid":"https://orcid.org/0009-0001-6327-4610"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christopher Pilmaier","raw_affiliation_strings":["Mississippi State University, United States of America"],"raw_orcid":"https://orcid.org/0009-0001-6327-4610","affiliations":[{"raw_affiliation_string":"Mississippi State University, United States of America","institution_ids":["https://openalex.org/I99041443"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071120134","display_name":"Greg W. Burgreen","orcid":"https://orcid.org/0000-0003-3953-6307"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Greg Burgreen","raw_affiliation_strings":["Mississippi State University, United States of America"],"raw_orcid":"https://orcid.org/0000-0003-3953-6307","affiliations":[{"raw_affiliation_string":"Mississippi State University, United States of America","institution_ids":["https://openalex.org/I99041443"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015330629","display_name":"Shanti Bhushan","orcid":"https://orcid.org/0000-0002-9877-0198"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shanti Bhushan","raw_affiliation_strings":["Mississippi State University, United States of America"],"raw_orcid":"https://orcid.org/0000-0002-9877-0198","affiliations":[{"raw_affiliation_string":"Mississippi State University, United States of America","institution_ids":["https://openalex.org/I99041443"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"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":0.14523125,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"73","last_page":"80"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.9998999834060669,"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/T10360","display_name":"Fluid Dynamics and Turbulent Flows","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9857000112533569,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.6509467363357544},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6412288546562195},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5173165798187256},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.4925435483455658},{"id":"https://openalex.org/keywords/turbulence","display_name":"Turbulence","score":0.48544245958328247},{"id":"https://openalex.org/keywords/surrogate-model","display_name":"Surrogate model","score":0.46783414483070374},{"id":"https://openalex.org/keywords/computational-fluid-dynamics","display_name":"Computational fluid dynamics","score":0.41130274534225464},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34758275747299194},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3373830318450928},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.31708377599716187},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22913861274719238},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08398997783660889}],"concepts":[{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.6509467363357544},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6412288546562195},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5173165798187256},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.4925435483455658},{"id":"https://openalex.org/C196558001","wikidata":"https://www.wikidata.org/wiki/Q190132","display_name":"Turbulence","level":2,"score":0.48544245958328247},{"id":"https://openalex.org/C131675550","wikidata":"https://www.wikidata.org/wiki/Q7646884","display_name":"Surrogate model","level":2,"score":0.46783414483070374},{"id":"https://openalex.org/C1633027","wikidata":"https://www.wikidata.org/wiki/Q815820","display_name":"Computational fluid dynamics","level":2,"score":0.41130274534225464},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34758275747299194},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3373830318450928},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.31708377599716187},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22913861274719238},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08398997783660889},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3624062.3626084","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3624062.3626084","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the SC '23 Workshops of the International Conference on High Performance Computing, Network, Storage, and Analysis","raw_type":"proceedings-article"},{"id":"pmh:oai:osti.gov:2326311","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/2326311","pdf_url":"https://www.osti.gov/servlets/purl/2326311","source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"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":null}],"best_oa_location":{"id":"pmh:oai:osti.gov:2326311","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/2326311","pdf_url":"https://www.osti.gov/servlets/purl/2326311","source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"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":null},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4388581039.pdf"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W1990517717","https://openalex.org/W2014356541","https://openalex.org/W2250904038","https://openalex.org/W2299467264","https://openalex.org/W2748760860","https://openalex.org/W2913525628","https://openalex.org/W3022643593","https://openalex.org/W3026573367","https://openalex.org/W3027710707","https://openalex.org/W3083437157","https://openalex.org/W3104009841","https://openalex.org/W3134478917","https://openalex.org/W3155036733","https://openalex.org/W3171884590","https://openalex.org/W3201434050","https://openalex.org/W3205549933","https://openalex.org/W4200514424","https://openalex.org/W4206410067","https://openalex.org/W4220758880","https://openalex.org/W4289520384","https://openalex.org/W4366415852","https://openalex.org/W4381744605","https://openalex.org/W6776486363"],"related_works":["https://openalex.org/W2902248750","https://openalex.org/W2583171488","https://openalex.org/W2006186928","https://openalex.org/W2275426735","https://openalex.org/W2189586792","https://openalex.org/W2016193480","https://openalex.org/W2082695312","https://openalex.org/W265566562","https://openalex.org/W3170007838","https://openalex.org/W2022508541"],"abstract_inverted_index":{"Optimal":[0],"sub-sampling":[1],"of":[2,32,79],"large":[3],"datasets":[4],"from":[5],"fluid":[6],"dynamics":[7],"simulations":[8],"is":[9,53],"essential":[10],"for":[11,46,125,137],"training":[12,47,92],"reduced-order":[13],"machine":[14],"learned":[15],"models.":[16],"A":[17],"method":[18,52,102,117],"using":[19],"Shannon":[20],"entropy":[21],"was":[22,118],"developed":[23],"to":[24,29,120],"weight":[25],"flow":[26,58],"features":[27,40],"according":[28],"their":[30],"level":[31],"information":[33],"content,":[34],"such":[35],"that":[36,98],"the":[37,56,116],"most":[38],"informative":[39],"can":[41],"be":[42],"extracted":[43],"and":[44,69,85,107,135],"used":[45,119],"a":[48,60,93,122],"surrogate":[49,94,123],"model.":[50],"The":[51],"demonstrated":[54],"in":[55,112,128],"canonical":[57],"over":[59],"cylinder":[61],"problem":[62],"simulated":[63],"with":[64],"OpenFOAM.":[65],"Both":[66],"time-independent":[67],"predictions":[68,84],"temporal":[70],"forecasting":[71],"were":[72],"investigated":[73],"as":[74,76],"well":[75],"two":[77],"types":[78],"prediction":[80],"targets:":[81],"local":[82],"per-grid-point":[83],"global":[86],"per-time-step":[87],"predictions.":[88],"When":[89],"tested":[90],"on":[91],"model,":[95],"results":[96,111],"indicate":[97],"our":[99],"entropy-based":[100],"sampling":[101,106],"typically":[103],"outperforms":[104],"random":[105],"yields":[108],"more":[109],"reproducible":[110],"less":[113],"iterations.":[114],"Finally,":[115],"train":[121],"model":[124],"modeling":[126],"turbulence":[127],"magnetohydrodynamic":[129],"flows,":[130],"which":[131],"revealed":[132],"various":[133],"challenges":[134],"opportunities":[136],"future":[138],"research.":[139]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
