4 papers
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…
Swimming Under Constraints: A Safe Reinforcement Learning Framework for Quadrupedal Bio-Inspired Propulsion
Xinyu Cui, Fei Han, Hang Xu +9
Bio-inspired aquatic propulsion offers high thrust and maneuverability but is prone to destabilizing forces such as lift fluctuations, which are further amplified by six-degree-of-…
Strategies for energy-efficient flow control leveraging deep reinforcement learning
Wang Jia, Hang Xu
This study investigates active flow control in two-dimensional flows at a Reynolds number of 100 using Deep Reinforcement Learning (DRL). We utilize DRL to develop flow control str…
Vortex shedding suppression in elliptical cylinder via reinforcement learning
Wang Jia, Hang Xu
Flow control of bluff bodies plays a critical role in engineering applications. In this study, deep reinforcement learning (DRL) is employed to develop flow control strategies for…