4 citations · 4 across the 2 of their papers we have counts for
2 papers
physics.flu-dyn2023
Wall Modeling of Turbulent Flows with Varying Pressure Gradients Using Multi-Agent Reinforcement Learning
Di Zhou, H. Jane Bae
We propose a framework for developing wall models for large-eddy simulation that is able to capture pressure-gradient effects using multi-agent reinforcement learning. Within this…
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…