New SGS model for turbulence uses mutual information maximization tied to inter-scale equilibrium to estimate parameters without empirical prescription, matching prior values and performing comparably in box and channel flow tests.
Duraisamy, Perspectives on machine learning-augmented Reynolds-averaged and large eddy simulation models of turbulence, Physical Review Fluids6, 050504 (2021)
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Information-Preserving SGS model based on the local inter-scale equilibrium hypothesis
New SGS model for turbulence uses mutual information maximization tied to inter-scale equilibrium to estimate parameters without empirical prescription, matching prior values and performing comparably in box and channel flow tests.