Search Results for author: Simon Peluchon

Found 1 papers, 0 papers with code

Accelerating hypersonic reentry simulations using deep learning-based hybridization (with guarantees)

no code implementations27 Sep 2022 Paul Novello, Gaël Poëtte, David Lugato, Simon Peluchon, Pietro Marco Congedo

To tackle this trade-off, we design a hybrid simulation code coupling a traditional fluid dynamic solver with a neural network approximating the chemical reactions.

Dimensionality Reduction

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