Showing cs.LGShow all
2 papers · 1 filter
cs.LG2026
Physics-integrated neural differentiable modeling for immersed boundary systems
Chenglin Li, Hang Xu, Jianting Chen +1
Accurately, efficiently, and stably computing complex fluid flows and their evolution near solid boundaries over long horizons remains challenging. Conventional numerical solvers r…
cs.LG2024
Optimal Parallelization Strategies for Active Flow Control in Deep Reinforcement Learning-Based Computational Fluid Dynamics
Wang Jia, Hang Xu
Deep Reinforcement Learning (DRL) has emerged as a promising approach for handling highly dynamic and nonlinear Active Flow Control (AFC) problems. However, the computational cost…