most citedA recursive neural-network-based subgrid-scale model for large eddy simulation: application to homogeneous isotropic turbulence

12 citations · 12 across the 1 of their papers we have counts for

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physics.flu-dyn2024★ 12 cited

A recursive neural-network-based subgrid-scale model for large eddy simulation: application to homogeneous isotropic turbulence

Chonghyuk Cho, Jonghwan Park, Haecheon Choi

We introduce a novel recursive process to a neural-network-based subgrid-scale (NN-based SGS) model for large eddy simulation (LES) of high Reynolds number turbulent flow. This pro…