Log-law recovery through reinforcement-learning wall model for large eddy simulation
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DOI: 10.1063/5.0147570
Abstract: 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 high-dimensional problems, especially in domains such as games. Despite… read more here.
Keywords: wall model; reinforcement learning; log law; model ... See more keywords