Open AccessA machine learning method for transition prediction in hypersonic flows over a cone with angles of attack
Author(s) -
Deying Meng,
Mingtao Shi,
Yipeng Shi,
Yiding Zhu
Publication year - 2022
Publication title -
aip advances
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.421
H-Index - 58
ISSN - 2158-3226
DOI - 10.1063/5.0077734
Subject(s) - extrapolation , hypersonic speed , mach number , angle of attack , hypersonic flight , work (physics) , boundary (topology) , artificial neural network , computer science , ligand cone angle , cone (formal languages) , function (biology) , physics , aerospace engineering , geometry , mechanics , artificial intelligence , algorithm , mathematical analysis , mathematics , aerodynamics , engineering , conical surface , thermodynamics , evolutionary biology , biology
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