49 citations · 204 across the 10 of their papers we have counts for
3 papers · 1 filter
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…
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…
Characterizing magnetic reconnection regions using Gaussian mixture models on particle velocity distributions
Romain Dupuis, Martin V. Goldman, David L. Newman +2
We present a method based on unsupervised machine learning to identify regions of interest using particle velocity distributions as a signature pattern. An automatic density estima…