Reinforcement Learning for Active Flow Control in Experiments

1 code implementation • 6 Mar 2020 • Dixia Fan, Liu Yang, Michael S. Triantafyllou, George Em. Karniadakis

We demonstrate experimentally the feasibility of applying reinforcement learning (RL) in flow control problems by automatically discovering active control strategies without any prior knowledge of the flow physics.

Fluid Dynamics Robotics

Deep Learning of Vortex Induced Vibrations

1 code implementation • 26 Aug 2018 • Maziar Raissi, Zhicheng Wang, Michael S. Triantafyllou, George Em. Karniadakis

Of interest is the prediction of the lift and drag forces on the structure given some limited and scattered information on the velocity field.