101 citations · 276 across the 14 of their papers we have counts for
3 papers · 1 filter
Physics-informed neural networks modeling for systems with moving immersed boundaries: application to an unsteady flow past a plunging foil
Rahul Sundar, Dipanjan Majumdar, Didier Lucor +1
Recently, physics informed neural networks (PINNs) have been explored extensively for solving various forward and inverse problems and facilitating querying applications in fluid m…
Reynolds Stress Anisotropy Tensor Predictions for Turbulent Channel Flow using Neural Networks
Jiayi Cai, Pierre-Emmanuel Angeli, Jean-Marc Martinez +2
The Reynolds-Averaged Navier-Stokes (RANS) approach remains a backbone for turbulence modeling due to its high cost-effectiveness. Its accuracy is largely based on a reliable Reyno…
A stochastic view of isotropic turbulence decay
Marcello Meldi, Pierre Sagaut, Didier Lucor
A stochastic EDQNM approach is used to investigate self-similar decaying isotropic turbulence at high Reynolds number (). The realistic energy spectrum func…