76 citations · 298 across the 12 of their papers we have counts for
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physics.flu-dyn2020★ 43 cited
Physical invariance in neural networks for subgrid-scale scalar flux modeling
Hugo Frezat, Guillaume Balarac, Julien Le Sommer +2
In this paper we present a new strategy to model the subgrid-scale scalar flux in a three-dimensional turbulent incompressible flow using physics-informed neural networks (NNs). Wh…
physics.flu-dyn2020★ 18 cited
A finite-size correction model for two-fluid Large-Eddy Simulation of particle-laden boundary layer flow
Antoine Mathieu, Julien Chauchat, Cyrille Bonamy +2
In this paper the capabilities of the turbulence-resolving Eulerian-Eulerian two-phase flow model to predict the suspension of mono-dispersed finite-sized solid particles in a boun…