{"id":"https://openalex.org/W4385489463","doi":"https://doi.org/10.1145/3594315.3594349","title":"A Method for Flow Field Reconstruction based on Fourier Neural Operator Network","display_name":"A Method for Flow Field Reconstruction based on Fourier Neural Operator Network","publication_year":2023,"publication_date":"2023-03-17","ids":{"openalex":"https://openalex.org/W4385489463","doi":"https://doi.org/10.1145/3594315.3594349"},"language":"en","primary_location":{"id":"doi:10.1145/3594315.3594349","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3594315.3594349","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 9th International Conference on Computing and Artificial Intelligence","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/A5045613475","display_name":"Weijie Yao","orcid":"https://orcid.org/0009-0001-3291-1197"},"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"]},{"id":"https://openalex.org/I4210160531","display_name":"Chinese People's Liberation Army","ror":"https://ror.org/05tf9r976","country_code":"CN","type":"funder","lineage":["https://openalex.org/I4210160531"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weijie Yao","raw_affiliation_strings":["College of Aerospace Science and Engineering, National University of Defense Technology, China","Defense Innovation Institute, Chinese Academy of Military Science, China"],"raw_orcid":"https://orcid.org/0009-0001-3291-1197","affiliations":[{"raw_affiliation_string":"College of Aerospace Science and Engineering, National University of Defense Technology, China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"Defense Innovation Institute, Chinese Academy of Military Science, China","institution_ids":["https://openalex.org/I4210160531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101810891","display_name":"Wei Peng","orcid":"https://orcid.org/0000-0002-7037-0221"},"institutions":[{"id":"https://openalex.org/I4210160531","display_name":"Chinese People's Liberation Army","ror":"https://ror.org/05tf9r976","country_code":"CN","type":"funder","lineage":["https://openalex.org/I4210160531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Peng","raw_affiliation_strings":["Defense Innovation Institute, Chinese Academy of Military Science, China"],"raw_orcid":"https://orcid.org/0000-0002-7037-0221","affiliations":[{"raw_affiliation_string":"Defense Innovation Institute, Chinese Academy of Military Science, China","institution_ids":["https://openalex.org/I4210160531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100718899","display_name":"Xiaoya Zhang","orcid":"https://orcid.org/0000-0002-1035-3200"},"institutions":[{"id":"https://openalex.org/I4210160531","display_name":"Chinese People's Liberation Army","ror":"https://ror.org/05tf9r976","country_code":"CN","type":"funder","lineage":["https://openalex.org/I4210160531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoya Zhang","raw_affiliation_strings":["Defense Innovation Institute, Chinese Academy of Military Science, China"],"raw_orcid":"https://orcid.org/0000-0002-1035-3200","affiliations":[{"raw_affiliation_string":"Defense Innovation Institute, Chinese Academy of Military Science, China","institution_ids":["https://openalex.org/I4210160531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001047616","display_name":"Wen Yao","orcid":"https://orcid.org/0000-0002-3726-7716"},"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"]},{"id":"https://openalex.org/I4210160531","display_name":"Chinese People's Liberation Army","ror":"https://ror.org/05tf9r976","country_code":"CN","type":"funder","lineage":["https://openalex.org/I4210160531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Yao","raw_affiliation_strings":["College of Aerospace Science and Engineering, National University of Defense Technology, China","Defense Innovation Institute, Chinese Academy of Military Science, China"],"raw_orcid":"https://orcid.org/0000-0002-3726-7716","affiliations":[{"raw_affiliation_string":"College of Aerospace Science and Engineering, National University of Defense Technology, China","institution_ids":["https://openalex.org/I170215575"]},{"raw_affiliation_string":"Defense Innovation Institute, Chinese Academy of Military Science, China","institution_ids":["https://openalex.org/I4210160531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5045613475"],"corresponding_institution_ids":["https://openalex.org/I170215575","https://openalex.org/I4210160531"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1049239,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"408","last_page":"412"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10360","display_name":"Fluid Dynamics and Turbulent Flows","score":0.9969000220298767,"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"}},"topics":[{"id":"https://openalex.org/T10360","display_name":"Fluid Dynamics and Turbulent Flows","score":0.9969000220298767,"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.9957000017166138,"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/T12125","display_name":"Aerospace and Aviation Technology","score":0.9929999709129333,"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/robustness","display_name":"Robustness (evolution)","score":0.8242748379707336},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6377854943275452},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5912904739379883},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.5832879543304443},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.49816441535949707},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4413868188858032},{"id":"https://openalex.org/keywords/computational-fluid-dynamics","display_name":"Computational fluid dynamics","score":0.41823068261146545},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.41658732295036316},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3913673162460327},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3808293342590332},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.320961594581604},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19276762008666992},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14623922109603882},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.12856832146644592},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.08732685446739197},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.06903421878814697}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8242748379707336},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6377854943275452},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5912904739379883},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.5832879543304443},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.49816441535949707},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4413868188858032},{"id":"https://openalex.org/C1633027","wikidata":"https://www.wikidata.org/wiki/Q815820","display_name":"Computational fluid dynamics","level":2,"score":0.41823068261146545},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.41658732295036316},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3913673162460327},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3808293342590332},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.320961594581604},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19276762008666992},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14623922109603882},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.12856832146644592},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.08732685446739197},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.06903421878814697},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3594315.3594349","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3594315.3594349","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 9th International Conference on Computing and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.4699999988079071,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1969060574","https://openalex.org/W2112796928","https://openalex.org/W2118877935","https://openalex.org/W2801938748","https://openalex.org/W3092923133","https://openalex.org/W3178290420","https://openalex.org/W4220715685"],"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":{"Flow":[0],"field":[1,79],"reconstruction":[2],"is":[3,53],"a":[4,54,81],"key":[5],"task":[6],"of":[7,34],"aircraft":[8],"sensing":[9],"the":[10,29,39,42,46,61,72,77,88,97,101],"external":[11],"environment.":[12],"Numerical":[13],"methods":[14,25],"like":[15],"CFD":[16],"are":[17,26],"time-consuming":[18],"and":[19,100,110],"computationally":[20],"expensive,":[21],"so":[22],"surrogate":[23,35],"model-based":[24],"adopted":[27],"in":[28],"task.":[30],"However,":[31],"most":[32],"kinds":[33],"model":[36,55],"only":[37],"learn":[38,59],"mapping":[40],"from":[41,60],"input":[43,63],"space":[44,64],"to":[45,65,75,95],"output":[47,66],"space.":[48,68],"Fourier":[49],"neural":[50],"operator":[51],"(FNO)":[52],"structure":[56],"that":[57],"can":[58,106],"functional":[62,67],"This":[69],"paper":[70],"develops":[71],"FNO":[73],"method":[74,105],"reconstruct":[76],"flow":[78],"around":[80],"wing":[82,89],"using":[83],"pressure":[84],"sensor":[85],"measurements":[86],"on":[87],"surface.":[90],"We":[91],"carried":[92],"out":[93],"experiments":[94],"validate":[96],"developed":[98],"method,":[99],"result":[102],"shows":[103],"our":[104],"achieve":[107],"high":[108],"accuracy":[109],"noise":[111],"robustness.":[112]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
