15 citations · 20 across the 13 of their papers we have counts for
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physics.flu-dyn2024★ 1 cited
NeurIPS 2024 ML4CFD Competition: Harnessing Machine Learning for Computational Fluid Dynamics in Airfoil Design
Mouadh Yagoubi, David Danan, Milad Leyli-abadi +8
The integration of machine learning (ML) techniques for addressing intricate physics problems is increasingly recognized as a promising avenue for expediting simulations. However,…
physics.flu-dyn2022★ 15 cited
CD-ROM: Complemented Deep-Reduced Order Model
Emmanuel Menier, Michele Alessandro Bucci, Mouadh Yagoubi +2
Model order reduction through the POD-Galerkin method can lead to dramatic gains in terms of computational efficiency in solving physical problems. However, the applicability of th…