169 citations · 686 across the 19 of their papers we have counts for
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physics.flu-dyn2023★ 25 cited
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…
physics.flu-dyn2023★ 18 cited
Towards real-time reconstruction of velocity fluctuations in turbulent channel flow
Rahul Arun, H. Jane Bae, Beverley J. McKeon
We develop a framework for efficient streaming reconstructions of turbulent velocity fluctuations from limited sensor measurements with the goal of enabling real-time applications.…