189 citations · 267 across the 14 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★ 9 cited
POD-mode-augmented wall model and its applications to flows at non-equilibrium conditions
Christoffer Hansen, Xiang IA Yang, Mahdi Abkar
Insights gained from modal analysis are invoked for predictive large-eddy simulation (LES) wall modeling. Specifically, we augment the law of the wall (LoW) by an additional mode b…