{"id":"https://openalex.org/W4388116175","doi":"https://doi.org/10.1109/niles59815.2023.10296587","title":"Deep Learning-Based Prediction of Aerodynamic Performance for Airfoils in Transonic Regime","display_name":"Deep Learning-Based Prediction of Aerodynamic Performance for Airfoils in Transonic Regime","publication_year":2023,"publication_date":"2023-10-21","ids":{"openalex":"https://openalex.org/W4388116175","doi":"https://doi.org/10.1109/niles59815.2023.10296587"},"language":"en","primary_location":{"id":"doi:10.1109/niles59815.2023.10296587","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/niles59815.2023.10296587","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 5th Novel Intelligent and Leading Emerging Sciences Conference (NILES)","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":null,"display_name":"Tarek Ayman","orcid":null},"institutions":[{"id":"https://openalex.org/I145487455","display_name":"Cairo University","ror":"https://ror.org/03q21mh05","country_code":"EG","type":"education","lineage":["https://openalex.org/I145487455"]}],"countries":["EG"],"is_corresponding":true,"raw_author_name":"Tarek Ayman","raw_affiliation_strings":["Cairo University,Aerospace Engineering Department,Giza,Egypt,12613"],"affiliations":[{"raw_affiliation_string":"Cairo University,Aerospace Engineering Department,Giza,Egypt,12613","institution_ids":["https://openalex.org/I145487455"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Mayar A. Elrefaie","orcid":null},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]},{"id":"https://openalex.org/I145487455","display_name":"Cairo University","ror":"https://ror.org/03q21mh05","country_code":"EG","type":"education","lineage":["https://openalex.org/I145487455"]}],"countries":["DE","EG"],"is_corresponding":false,"raw_author_name":"Mayar A. Elrefaie","raw_affiliation_strings":["Cairo University,Aerospace Engineering Department,Giza,Egypt,12613","Technical University of Munich,Department of Aerospace and Geodesy,Munich,Germany,80333"],"affiliations":[{"raw_affiliation_string":"Cairo University,Aerospace Engineering Department,Giza,Egypt,12613","institution_ids":["https://openalex.org/I145487455"]},{"raw_affiliation_string":"Technical University of Munich,Department of Aerospace and Geodesy,Munich,Germany,80333","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031055539","display_name":"Eman Sayed","orcid":null},"institutions":[{"id":"https://openalex.org/I145487455","display_name":"Cairo University","ror":"https://ror.org/03q21mh05","country_code":"EG","type":"education","lineage":["https://openalex.org/I145487455"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Eman Sayed","raw_affiliation_strings":["Cairo University,Aerospace Engineering Department,Giza,Egypt,12613"],"affiliations":[{"raw_affiliation_string":"Cairo University,Aerospace Engineering Department,Giza,Egypt,12613","institution_ids":["https://openalex.org/I145487455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109651603","display_name":"Mohamed Elrefaie","orcid":"https://orcid.org/0009-0008-9981-0930"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]},{"id":"https://openalex.org/I145487455","display_name":"Cairo University","ror":"https://ror.org/03q21mh05","country_code":"EG","type":"education","lineage":["https://openalex.org/I145487455"]}],"countries":["DE","EG"],"is_corresponding":false,"raw_author_name":"Mohamed Elrefaie","raw_affiliation_strings":["Cairo University,Aerospace Engineering Department,Giza,Egypt,12613","Technical University of Munich,Department of Aerospace and Geodesy,Munich,Germany,80333"],"affiliations":[{"raw_affiliation_string":"Cairo University,Aerospace Engineering Department,Giza,Egypt,12613","institution_ids":["https://openalex.org/I145487455"]},{"raw_affiliation_string":"Technical University of Munich,Department of Aerospace and Geodesy,Munich,Germany,80333","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008626224","display_name":"Mahmoud Ayyad","orcid":"https://orcid.org/0000-0001-5800-9313"},"institutions":[{"id":"https://openalex.org/I108468826","display_name":"Stevens Institute of Technology","ror":"https://ror.org/02z43xh36","country_code":"US","type":"education","lineage":["https://openalex.org/I108468826"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mahmoud Ayyad","raw_affiliation_strings":["Stevens Institute of Technology,Davidson Lab,CEOE Department,Hoboken,NJ,USA,07030"],"affiliations":[{"raw_affiliation_string":"Stevens Institute of Technology,Davidson Lab,CEOE Department,Hoboken,NJ,USA,07030","institution_ids":["https://openalex.org/I108468826"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022381107","display_name":"Ahmed A. Hamada","orcid":"https://orcid.org/0000-0003-1505-7774"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ahmed A. Hamada","raw_affiliation_strings":["Texas A&#x0026;M University,Department of Ocean Engineering,College State,TX,USA,77843"],"affiliations":[{"raw_affiliation_string":"Texas A&#x0026;M University,Department of Ocean Engineering,College State,TX,USA,77843","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101408964","display_name":"Mohamed Abdelrahman","orcid":"https://orcid.org/0000-0003-3902-9575"},"institutions":[{"id":"https://openalex.org/I145487455","display_name":"Cairo University","ror":"https://ror.org/03q21mh05","country_code":"EG","type":"education","lineage":["https://openalex.org/I145487455"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Mohamed M. Abdelrahman","raw_affiliation_strings":["Cairo University,Aerospace Engineering Department,Giza,Egypt,12613"],"affiliations":[{"raw_affiliation_string":"Cairo University,Aerospace Engineering Department,Giza,Egypt,12613","institution_ids":["https://openalex.org/I145487455"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I145487455"],"apc_list":null,"apc_paid":null,"fwci":0.1666,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.46802775,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"157","last_page":"160"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9994000196456909,"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/T11008","display_name":"Aerodynamics and Acoustics in Jet Flows","score":0.9987999796867371,"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/transonic","display_name":"Transonic","score":0.9547967910766602},{"id":"https://openalex.org/keywords/airfoil","display_name":"Airfoil","score":0.8682740926742554},{"id":"https://openalex.org/keywords/aerodynamics","display_name":"Aerodynamics","score":0.858780026435852},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6620931625366211},{"id":"https://openalex.org/keywords/lift-coefficient","display_name":"Lift coefficient","score":0.5852530002593994},{"id":"https://openalex.org/keywords/pitching-moment","display_name":"Pitching moment","score":0.5630964040756226},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5569738149642944},{"id":"https://openalex.org/keywords/lift","display_name":"Lift (data mining)","score":0.5358121991157532},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.5267481207847595},{"id":"https://openalex.org/keywords/computational-fluid-dynamics","display_name":"Computational fluid dynamics","score":0.4154999852180481},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41119423508644104},{"id":"https://openalex.org/keywords/angle-of-attack","display_name":"Angle of attack","score":0.31118619441986084},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3010569214820862},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.22551056742668152},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20372825860977173},{"id":"https://openalex.org/keywords/mechanics","display_name":"Mechanics","score":0.1788429617881775}],"concepts":[{"id":"https://openalex.org/C103838597","wikidata":"https://www.wikidata.org/wiki/Q1579556","display_name":"Transonic","level":3,"score":0.9547967910766602},{"id":"https://openalex.org/C112124176","wikidata":"https://www.wikidata.org/wiki/Q4698744","display_name":"Airfoil","level":2,"score":0.8682740926742554},{"id":"https://openalex.org/C13393347","wikidata":"https://www.wikidata.org/wiki/Q8424","display_name":"Aerodynamics","level":2,"score":0.858780026435852},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6620931625366211},{"id":"https://openalex.org/C150486481","wikidata":"https://www.wikidata.org/wiki/Q760106","display_name":"Lift coefficient","level":4,"score":0.5852530002593994},{"id":"https://openalex.org/C46820840","wikidata":"https://www.wikidata.org/wiki/Q7198892","display_name":"Pitching moment","level":4,"score":0.5630964040756226},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5569738149642944},{"id":"https://openalex.org/C139002025","wikidata":"https://www.wikidata.org/wiki/Q3001212","display_name":"Lift (data mining)","level":2,"score":0.5358121991157532},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.5267481207847595},{"id":"https://openalex.org/C1633027","wikidata":"https://www.wikidata.org/wiki/Q815820","display_name":"Computational fluid dynamics","level":2,"score":0.4154999852180481},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41119423508644104},{"id":"https://openalex.org/C527307","wikidata":"https://www.wikidata.org/wiki/Q370906","display_name":"Angle of attack","level":3,"score":0.31118619441986084},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3010569214820862},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.22551056742668152},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20372825860977173},{"id":"https://openalex.org/C57879066","wikidata":"https://www.wikidata.org/wiki/Q41217","display_name":"Mechanics","level":1,"score":0.1788429617881775},{"id":"https://openalex.org/C182748727","wikidata":"https://www.wikidata.org/wiki/Q178932","display_name":"Reynolds number","level":3,"score":0.0},{"id":"https://openalex.org/C196558001","wikidata":"https://www.wikidata.org/wiki/Q190132","display_name":"Turbulence","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/niles59815.2023.10296587","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/niles59815.2023.10296587","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 5th Novel Intelligent and Leading Emerging Sciences Conference (NILES)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5099999904632568,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1975926472","https://openalex.org/W2049383620","https://openalex.org/W2621240502","https://openalex.org/W2955762689","https://openalex.org/W2964277698","https://openalex.org/W2985630280","https://openalex.org/W3034369949","https://openalex.org/W3038687103","https://openalex.org/W3202192471","https://openalex.org/W4280648359","https://openalex.org/W6801688923"],"related_works":["https://openalex.org/W253480778","https://openalex.org/W2368453162","https://openalex.org/W3137537900","https://openalex.org/W2976310862","https://openalex.org/W4238656602","https://openalex.org/W2385944203","https://openalex.org/W2358026286","https://openalex.org/W2809782496","https://openalex.org/W3053792263","https://openalex.org/W1972565205"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3,89],"approach":[4,32],"to":[5,41,64,97,115],"estimate":[6],"the":[7,13,37,66,82,98,109,121,130],"aerodynamic":[8,28,70,118],"coefficients":[9,119],"of":[10,51,69,93,111,134],"airfoils":[11],"in":[12,72,120],"transonic":[14,21,52,122],"regime":[15,22],"using":[16],"Artificial":[17,61,112],"Neural":[18,62,113],"Networks.":[19],"The":[20],"is":[23],"a":[24,48],"critical":[25],"and":[26,30,55,84,132],"challenging":[27],"domain,":[29],"our":[31,43,60],"utilizes":[33],"data":[34],"generated":[35],"by":[36,102],"OpenFOAM<sup":[38,103],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[39,104],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">\u00ae</sup>":[40],"train":[42],"model.":[44],"Our":[45,75,106],"dataset":[46,100],"encompasses":[47],"wide":[49],"range":[50],"flow":[53],"conditions":[54],"different":[56],"airfoil":[57],"shapes,":[58],"enabling":[59],"Networks":[63,114],"capture":[65],"complex":[67],"behavior":[68],"phenomena":[71],"this":[73],"regime.":[74],"proposed":[76],"framework":[77],"achieves":[78],"high":[79],"accuracy,":[80],"with":[81,95],"lift":[83],"moment":[85],"coefficient":[86],"predictions":[87],"demonstrating":[88],"unprecedented":[90],"accuracy":[91],"level":[92],"99.7%":[94],"respect":[96],"test":[99],"obtained":[101],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">\u00ae</sup>.":[105],"results":[107],"demonstrate":[108],"potential":[110],"accurately":[116],"predict":[117],"regime,":[123],"which":[124],"could":[125],"have":[126],"significant":[127],"implications":[128],"for":[129],"design":[131],"optimization":[133],"high-performance":[135],"aircraft.":[136]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}