2 papers
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…