54 citations · 58 across the 4 of their papers we have counts for
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physics.flu-dyn2023★ 1 cited
Prediction and control of two-dimensional decaying turbulence using generative adversarial networks
Jiyeon Kim, Junhyuk Kim, Changhoon Lee
With the recent rapid developments in machine learning (ML), several attempts have been made to apply ML methods to various fluid dynamics problems. However, the feasibility of ML…
physics.flu-dyn2022★ 54 cited
Deep reinforcement learning for large-eddy simulation modeling in wall-bounded turbulence
Junhyuk Kim, Hyojin Kim, Jiyeon Kim +1
The development of a reliable subgrid-scale (SGS) model for large-eddy simulation (LES) is of great importance for many scientific and engineering applications. Recently, deep lear…