42 citations · 46 across the 2 of their papers we have counts for
2 papers
physics.flu-dyn2022★ 4 cited
Multi-agent reinforcement learning for wall modeling in LES of flow over periodic hills
Di Zhou, Michael P. Whitmore, Kevin P. Griffin +1
We develop a wall model for large-eddy simulation (LES) that takes into account various pressure-gradient effects using multi-agent reinforcement learning (MARL). The model is trai…
physics.flu-dyn2022★ 42 cited
Non-Boussinesq subgrid-scale model with dynamic tensorial coefficients
Rahul Agrawal, Michael P. Whitmore, Kevin P. Griffin +2
A major drawback of Boussinesq-type subgrid-scale stress models used in large-eddy simulations is the inherent assumption of alignment between large-scale strain rates and filtered…