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physics.flu-dyn2022
Intermittency and collisions of fast sedimenting droplets in turbulence
Itzhak Fouxon, Seulgi Lee, Changhoon Lee
We study theoretically and numerically spatial distribution and collision rate of droplets that sediment in homogeneous isotropic Navier-Stokes turbulence. It is assumed that typic…
physics.flu-dyn2020
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…
physics.flu-dyn2019
Deep unsupervised learning of turbulence for inflow generation at various Reynolds numbers
Junhyuk Kim, Changhoon Lee
A realistic inflow boundary condition is essential for successful simulation of the developing turbulent boundary layer or channel flows. Recent advances in artificial intelligence…