{"id":"https://openalex.org/W4205261495","doi":"https://doi.org/10.1145/3501409.3501545","title":"Research on the Role of Hybrid Mesh Warm-up in Flow Prediction Based on Deep Learning","display_name":"Research on the Role of Hybrid Mesh Warm-up in Flow Prediction Based on Deep Learning","publication_year":2021,"publication_date":"2021-10-22","ids":{"openalex":"https://openalex.org/W4205261495","doi":"https://doi.org/10.1145/3501409.3501545"},"language":"en","primary_location":{"id":"doi:10.1145/3501409.3501545","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3501409.3501545","pdf_url":null,"source":{"id":"https://openalex.org/S4363608789","display_name":"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100357613","display_name":"Xiaoyu Wang","orcid":"https://orcid.org/0000-0002-6431-8822"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoyu Wang","raw_affiliation_strings":["Hpcl, College of Computer, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Hpcl, College of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059351590","display_name":"Chuanfu Xu","orcid":"https://orcid.org/0000-0002-4876-2368"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuanfu Xu","raw_affiliation_strings":["Hpcl, College of Computer, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Hpcl, College of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103190446","display_name":"Xiang Gao","orcid":"https://orcid.org/0000-0002-8216-7482"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Gao","raw_affiliation_strings":["Hpcl, College of Computer, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Hpcl, College of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100363906","display_name":"Wenqiang Li","orcid":"https://orcid.org/0000-0002-6763-6244"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenqiang Li","raw_affiliation_strings":["Hpcl, College of Computer, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Hpcl, College of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102739965","display_name":"Dong Zhu","orcid":"https://orcid.org/0000-0002-7852-8521"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Zhu","raw_affiliation_strings":["Hpcl, College of Computer, National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Hpcl, College of Computer, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100357613"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":0.681,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.66425993,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"752","last_page":"759"},"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":0.9966999888420105,"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/T10944","display_name":"Turbomachinery Performance and Optimization","score":0.9803000092506409,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/solver","display_name":"Solver","score":0.7267990112304688},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7089692950248718},{"id":"https://openalex.org/keywords/computational-fluid-dynamics","display_name":"Computational fluid dynamics","score":0.6403628587722778},{"id":"https://openalex.org/keywords/flow","display_name":"Flow (mathematics)","score":0.47653111815452576},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4541255533695221},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4378983974456787},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38926762342453003},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3459472060203552},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3299105763435364},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17015016078948975},{"id":"https://openalex.org/keywords/mechanics","display_name":"Mechanics","score":0.1622314453125},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.13566628098487854},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10021725296974182}],"concepts":[{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.7267990112304688},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7089692950248718},{"id":"https://openalex.org/C1633027","wikidata":"https://www.wikidata.org/wiki/Q815820","display_name":"Computational fluid dynamics","level":2,"score":0.6403628587722778},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.47653111815452576},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4541255533695221},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4378983974456787},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38926762342453003},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3459472060203552},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3299105763435364},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17015016078948975},{"id":"https://openalex.org/C57879066","wikidata":"https://www.wikidata.org/wiki/Q41217","display_name":"Mechanics","level":1,"score":0.1622314453125},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.13566628098487854},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10021725296974182},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3501409.3501545","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3501409.3501545","pdf_url":null,"source":{"id":"https://openalex.org/S4363608789","display_name":"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 5th International Conference on Electronic Information Technology and Computer Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.49000000953674316,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W560471922","https://openalex.org/W2515505748","https://openalex.org/W2534240011","https://openalex.org/W2560185252","https://openalex.org/W2890018624","https://openalex.org/W2964277698","https://openalex.org/W2973337859","https://openalex.org/W3035431334","https://openalex.org/W3080930191","https://openalex.org/W4220775796"],"related_works":["https://openalex.org/W2902248750","https://openalex.org/W2583171488","https://openalex.org/W2006186928","https://openalex.org/W2275426735","https://openalex.org/W2186864281","https://openalex.org/W2189586792","https://openalex.org/W2134632713","https://openalex.org/W2082695312","https://openalex.org/W2016193480","https://openalex.org/W4253602111"],"abstract_inverted_index":{"During":[0],"aerodynamic":[1],"design,":[2],"Computational":[3],"Fluid":[4],"Dynamics":[5],"(CFD)":[6],"can":[7,117,208,236,252,267],"perform":[8],"high-precision":[9],"calculations":[10],"regarding":[11],"different":[12,216],"flow":[13,63,76,101,109,126,155,177,197,217,234],"conditions,":[14,127],"but":[15],"it":[16,31,266],"takes":[17],"too":[18],"long":[19],"to":[20,35,51,135,170,180,227],"solve":[21],"the":[22,38,42,52,68,73,80,86,89,115,122,131,137,140,150,154,158,162,172,181,186,191,195,199,222,228,231,240,244,247,256,260,264],"large-scale":[23],"and":[24,79,125,128,167,246],"complex":[25],"partial":[26],"differential":[27],"equations":[28],"which":[29,114],"makes":[30],"difficult":[32],"for":[33],"designers":[34],"fully":[36],"explore":[37],"design":[39],"scope.":[40],"With":[41],"rapid":[43],"development":[44],"of":[45,88,139,145,153,188,190,243],"deep":[46],"learning":[47],"methods":[48,82],"specifically":[49],"applied":[50],"Convolutional":[53,98],"Neural":[54],"Networks":[55],"(CNN),":[56],"researchers":[57],"have":[58],"designed":[59],"some":[60],"image-based":[61],"CNN":[62,70],"field":[64,77,102,110,156,166,178,212,235,242],"prediction":[65,103],"models.":[66],"However,":[67],"traditional":[69,132],"cannot":[71,84],"process":[72],"non-Euclidean":[74],"spatial":[75],"problems,":[78],"end-to-end":[81],"often":[83],"guarantee":[85],"validity":[87,138],"data.":[90],"In":[91,194,219],"this":[92],"paper,":[93],"we":[94],"propose":[95],"a":[96,108],"Graph":[97],"Network":[99],"(GCN)":[100],"network":[104,224],"model":[105],"coupled":[106],"with":[107,121,130,174,259],"solver":[111,134,173],"FlowGCN,":[112],"in":[113],"GCN":[116],"be":[118,237,253],"effectively":[119],"integrated":[120],"computational":[123],"grids":[124],"combined":[129],"numerical":[133,192],"ensure":[136],"simulation":[141,250],"results.":[142],"The":[143],"core":[144],"FlowGCN":[146,207],"is,":[147],"by":[148,255,263],"predicting":[149],"physical":[151,211],"quantities":[152,213],"through":[157],"GCN,":[159],"such":[160],"as":[161,239],"velocity":[163],"field,":[164],"pressure":[165],"eddy":[168],"viscosity,":[169],"provide":[171],"an":[175],"initial":[176,241],"closer":[179],"convergence":[182],"state,":[183],"thereby":[184],"reducing":[185],"number":[187],"iterations":[189],"solution.":[193],"steady":[196],"model,":[198],"typical":[200],"two-dimensional":[201],"airfoil":[202],"calculation":[203,229,262],"example":[204],"shows":[205],"that":[206],"predict":[209],"various":[210],"well":[214],"under":[215],"conditions.":[218],"addition,":[220],"because":[221],"graph":[223],"directly":[225],"corresponds":[226],"grids,":[230],"lossless":[232],"predicted":[233],"used":[238],"solver,":[245,265],"more":[248],"reliable":[249],"results":[251],"calculated":[254],"solver.":[257],"Compared":[258],"direct":[261],"get":[268],"1.9":[269],"times":[270],"faster.":[271]},"counts_by_year":[{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
