1 citations · 3 across the 6 of their papers we have counts for
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cs.LG2022★ 1 cited
DS-GPS : A Deep Statistical Graph Poisson Solver (for faster CFD simulations)
Matthieu Nastorg, Marc Schoenauer, Guillaume Charpiat +3
This paper proposes a novel Machine Learning-based approach to solve a Poisson problem with mixed boundary conditions. Leveraging Graph Neural Networks, we develop a model able to…
physics.flu-dyn2022★ 1 cited
Machine Learning model for gas-liquid interface reconstruction in CFD numerical simulations
Tamon Nakano, Alessandro Michele Bucci, Jean-Marc Gratien +2
The volume of fluid (VoF) method is widely used in multi-phase flow simulations to track and locate the interface between two immiscible fluids. A major bottleneck of the VoF metho…