Single-step deep reinforcement learning for two- and three-dimensional optimal shape design
Author(s) -
Hassan Ghraieb,
Jonathan Viquerat,
Aurélien Larcher,
Philippe Méliga,
Elie Hachem
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 - 10.1063/5.0097241
Subject(s) - airfoil , reynolds number , camber (aerodynamics) , aerodynamics , computational fluid dynamics , lift to drag ratio , drag , artificial neural network , chord (peer to peer) , computer science , lift (data mining) , reinforcement learning , cylinder , geometry , mathematics , mechanics , artificial intelligence , structural engineering , physics , engineering , turbulence , machine learning , distributed computing
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