24 citations · 25 across the 2 of their papers we have counts for
2 papers
physics.flu-dyn2024★ 1 cited
Identification of Settling Velocity with Physics Informed Neural Networks For Sediment Laden Flows
Mickaël Delcey, Yoann Cheny, Jean-Baptiste Keck +2
Physics-Informed Neural Networks (PINNs) have shown great potential in the context of fluid dynamics simulations, particularly in reconstructing flow fields and identifying key par…
physics.flu-dyn2022★ 24 cited
Physics-informed neural networks for gravity currents reconstruction from limited data
Mickaël Delcey, Yoann Cheny, Sébastien Kiesgen de Richter
The present work investigates the use of physics-informed neural networks (PINNs) for the 3D reconstruction of unsteady gravity currents from limited data. In the PINN context, the…