Log-law recovery through reinforcement-learning wall model for large-eddy simulation

Aurélien Vadrot, Xiang I. A. Yang, H. Jane Bae +1

This paper focuses on the use of reinforcement learning (RL) as a machine-learning (ML) modeling tool for near-wall turbulence. RL has demonstrated its effectiveness in solving hig…