281 citations · 335 across the 2 of their papers we have counts for
2 papers
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…
physics.flu-dyn2020★ 281 cited
Unsupervised deep learning for super-resolution reconstruction of turbulence
Hyojin Kim, Junhyuk Kim, Sungjin Won +1
Recent attempts to use deep learning for super-resolution reconstruction of turbulent flows have used supervised learning, which requires paired data for training. This limitation…