{"id":"https://openalex.org/W2811105005","doi":"https://doi.org/10.1145/3197517.3201325","title":"Learning three-dimensional flow for interactive aerodynamic design","display_name":"Learning three-dimensional flow for interactive aerodynamic design","publication_year":2018,"publication_date":"2018-07-30","ids":{"openalex":"https://openalex.org/W2811105005","doi":"https://doi.org/10.1145/3197517.3201325","mag":"2811105005"},"language":"en","primary_location":{"id":"doi:10.1145/3197517.3201325","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3197517.3201325","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://zenodo.org/record/3495498","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085087441","display_name":"Nobuyuki Umetani","orcid":"https://orcid.org/0000-0003-1251-970X"},"institutions":[{"id":"https://openalex.org/I4210103820","display_name":"Autodesk (Canada)","ror":"https://ror.org/01b3dk794","country_code":"CA","type":"company","lineage":["https://openalex.org/I1286353243","https://openalex.org/I4210103820"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Nobuyuki Umetani","raw_affiliation_strings":["Autodesk Research, Toronto, Canada"],"affiliations":[{"raw_affiliation_string":"Autodesk Research, Toronto, Canada","institution_ids":["https://openalex.org/I4210103820"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000482372","display_name":"Bernd Bickel","orcid":"https://orcid.org/0000-0001-6511-9385"},"institutions":[{"id":"https://openalex.org/I157556583","display_name":"Institute of Science and Technology Austria","ror":"https://ror.org/03gnh5541","country_code":"AT","type":"education","lineage":["https://openalex.org/I157556583"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Bernd Bickel","raw_affiliation_strings":["IST Austria, Vienna, Austria"],"affiliations":[{"raw_affiliation_string":"IST Austria, Vienna, Austria","institution_ids":["https://openalex.org/I157556583"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5085087441"],"corresponding_institution_ids":["https://openalex.org/I4210103820"],"apc_list":null,"apc_paid":null,"fwci":27.9205,"has_fulltext":false,"cited_by_count":105,"citation_normalized_percentile":{"value":0.99647299,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"37","issue":"4","first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9962000250816345,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9825000166893005,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/parametrization","display_name":"Parametrization (atmospheric modeling)","score":0.8358900547027588},{"id":"https://openalex.org/keywords/aerodynamics","display_name":"Aerodynamics","score":0.7597743272781372},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6983726620674133},{"id":"https://openalex.org/keywords/kriging","display_name":"Kriging","score":0.6023485064506531},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5277194380760193},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.5153845548629761},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5034024119377136},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.4514349102973938},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40116673707962036},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3597484827041626},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.3591378331184387},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34997236728668213},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2013518214225769},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.19547560811042786},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.14724677801132202},{"id":"https://openalex.org/keywords/mechanics","display_name":"Mechanics","score":0.1330225169658661},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.0943317711353302}],"concepts":[{"id":"https://openalex.org/C202887219","wikidata":"https://www.wikidata.org/wiki/Q3895221","display_name":"Parametrization (atmospheric modeling)","level":3,"score":0.8358900547027588},{"id":"https://openalex.org/C13393347","wikidata":"https://www.wikidata.org/wiki/Q8424","display_name":"Aerodynamics","level":2,"score":0.7597743272781372},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6983726620674133},{"id":"https://openalex.org/C81692654","wikidata":"https://www.wikidata.org/wiki/Q225926","display_name":"Kriging","level":2,"score":0.6023485064506531},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5277194380760193},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.5153845548629761},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5034024119377136},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.4514349102973938},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40116673707962036},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3597484827041626},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.3591378331184387},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34997236728668213},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2013518214225769},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.19547560811042786},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.14724677801132202},{"id":"https://openalex.org/C57879066","wikidata":"https://www.wikidata.org/wiki/Q41217","display_name":"Mechanics","level":1,"score":0.1330225169658661},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0943317711353302},{"id":"https://openalex.org/C74902906","wikidata":"https://www.wikidata.org/wiki/Q1190858","display_name":"Radiative transfer","level":2,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3197517.3201325","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3197517.3201325","pdf_url":null,"source":{"id":"https://openalex.org/S185367456","display_name":"ACM Transactions on Graphics","issn_l":"0730-0301","issn":["0730-0301","1557-7368"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Graphics","raw_type":"journal-article"},{"id":"pmh:oai:zenodo.org:3495498","is_oa":true,"landing_page_url":"https://zenodo.org/record/3495498","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:3495498","is_oa":true,"landing_page_url":"https://zenodo.org/record/3495498","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1511511928","https://openalex.org/W1569512051","https://openalex.org/W1605077669","https://openalex.org/W1644641054","https://openalex.org/W1934027668","https://openalex.org/W1988115241","https://openalex.org/W2000964990","https://openalex.org/W2015152775","https://openalex.org/W2021167140","https://openalex.org/W2029772130","https://openalex.org/W2056014540","https://openalex.org/W2075891377","https://openalex.org/W2080144738","https://openalex.org/W2083100469","https://openalex.org/W2084161481","https://openalex.org/W2089211892","https://openalex.org/W2089858332","https://openalex.org/W2095705004","https://openalex.org/W2142037563","https://openalex.org/W2160692760","https://openalex.org/W2293626636","https://openalex.org/W2294238806","https://openalex.org/W2331486990","https://openalex.org/W2471438833","https://openalex.org/W2611539359","https://openalex.org/W2736422420","https://openalex.org/W2737234477","https://openalex.org/W2775428617","https://openalex.org/W2949629584","https://openalex.org/W2950642167","https://openalex.org/W2952104252","https://openalex.org/W2963973748","https://openalex.org/W3104141662","https://openalex.org/W3123879774","https://openalex.org/W3125460488"],"related_works":["https://openalex.org/W566010457","https://openalex.org/W2600092203","https://openalex.org/W4300066510","https://openalex.org/W2056958800","https://openalex.org/W2803685231","https://openalex.org/W4293503520","https://openalex.org/W3134152097","https://openalex.org/W4311388919","https://openalex.org/W2966696655","https://openalex.org/W2169866437"],"abstract_inverted_index":{"We":[0,88,122],"present":[1,89],"a":[2,46,60,70,81,90,118,136],"data-driven":[3,71],"technique":[4],"to":[5,108],"instantly":[6],"predict":[7],"how":[8],"fluid":[9],"flows":[10],"around":[11],"various":[12],"three-dimensional":[13,61,67,100],"objects.":[14],"Such":[15],"simulation":[16],"is":[17,25,73],"useful":[18],"for":[19,36,99,129],"computational":[20],"fabrication":[21],"and":[22,54,56,86,133],"engineering,":[23],"but":[24],"usually":[26,79],"computationally":[27],"expensive":[28],"since":[29],"it":[30],"requires":[31],"solving":[32],"the":[33,42,111,115,124,130],"Navier-Stokes":[34],"equation":[35],"many":[37],"time":[38],"steps.":[39],"To":[40],"accelerate":[41],"process,":[43],"we":[44],"propose":[45],"machine":[47,76],"learning":[48,77],"framework":[49,72],"which":[50],"predicts":[51],"aerodynamic":[52],"forces":[53],"velocity":[55],"pressure":[57],"fields":[58],"given":[59],"shape":[62],"input.":[63],"Handling":[64],"detailed":[65],"free-form":[66],"shapes":[68,101],"in":[69],"challenging":[74],"because":[75],"approaches":[78],"require":[80],"consistent":[82],"parametrization":[83,94],"of":[84,114,126,135],"input":[85],"output.":[87],"novel":[91],"PolyCube":[92],"maps-based":[93],"that":[95],"can":[96],"be":[97],"computed":[98],"at":[102],"interactive":[103,131],"rates.":[104],"This":[105],"allows":[106],"us":[107],"efficiently":[109],"learn":[110],"nonlinear":[112],"response":[113],"flow":[116],"using":[117],"Gaussian":[119],"process":[120],"regression.":[121],"demonstrate":[123],"effectiveness":[125],"our":[127],"approach":[128],"design":[132],"optimization":[134],"car":[137],"body.":[138]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":18},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":1}],"updated_date":"2026-03-28T08:17:26.163206","created_date":"2025-10-10T00:00:00"}