49 citations · 145 across the 6 of their papers we have counts for
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physics.flu-dyn2019★ 1 cited
Improved Surrogate Modeling using Machine Learning for Industrial Civil Aircraft Aerodynamics
Romain Dupuis, Jean-Christophe Jouhaud, Pierre Sagaut
Predicting and simulating aerodynamic fields for civil aircraft over wide flight envelopes represent a real challenge mainly due to significant numerical costs and complex flows. S…
physics.flu-dyn2019★ 49 cited
Surrogate Modeling of Aerodynamic Simulations for Multiple Operating Conditions Using Machine Learning
Romain Dupuis, Jean-Christophe Jouhaud, Pierre Sagaut
This article presents an original methodology for the prediction of steady turbulent aerodynamic fields. Due to the important computational cost of high-fidelity aerodynamic simula…