activity
20142022
most citedUnsupervised deep learning for super-resolution reconstruction of turbulence

281 citations · 533 across the 7 of their papers we have counts for

collaborators

7 papers

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★ 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…

physics.flu-dyn2019★ 111 cited

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…

physics.flu-dyn2014★ 22 cited

Inhomogeneous distribution of droplets in cloud turbulence

Itzhak Fouxon, Yongnam Park, Roei Harduf +1

We solve the problem of spatial distribution of inertial particles that sediment in turbulent flow with small ratio of acceleration of fluid particles to acceleration of gravity $g…

physics.flu-dyn2014★ 1 cited

Universal statistics of density of inertial particles sedimenting in turbulence

Itzhak Fouxon, Yongnam Park, Roei Harduf +1

We solve the problem of spatial distribution of inertial particles that sediment in Navier-Stokes turbulence with small ratio of acceleration of fluid particles to acceleratio…

physics.flu-dyn2014★ 93 cited

Modification of particle-laden near-wall turbulence: effect of Stokes number

Junghoon Lee, Changhoon Lee

Turbulent channel flows laden with particles are investigated using direct numerical simulation with a point-force approximation for small, heavy particles with a diameter smaller…

physics.flu-dyn2014★ 25 cited

Gravity-driven clustering of inertial particles in turbulence

Yongnam Park, Changhoon Lee

We report a new kind of particle clustering caused purely by gravity, discovered in our simulation of particle-laden turbulence. Clustering in a vertical strip pattern forms when s…