41 citations · 42 across the 2 of their papers we have counts for
3 papers
physics.flu-dyn2023★ 1 cited
Physics-informed neural network to augment experimental data: an application to stratified flows
Lu Zhu, Xianyang Jiang, Adrien Lefauve +2
We develop a physics-informed neural network (PINN) to significantly augment state-of-the-art experimental data and apply it to stratified flows. The PINN is a fully-connected deep…
physics.flu-dyn2023
Geometry of stratified turbulent mixing: local alignment of the density gradient with rotation, shear and viscous dissipation
Xianyang Jiang, Amir Atoufi, Lu Zhu +4
We introduce a geometric analysis of turbulent mixing in density-stratified flows based on the alignment of the density gradient in two orthogonal bases that are locally constructe…
physics.flu-dyn2022★ 41 cited
The evolution of coherent vortical structures in increasingly turbulent stratified shear layers
Xianyang Jiang, Adrien Lefauve, Stuart B. Dalziel +1
We study the morphology of Eulerian vortical structures and their interaction with density interfaces in increasingly turbulent stably-stratified shear layers. We analyse the three…