Density stratification due to temperature or salinity variations greatly influences the flow
around and the sedimentation of objects such as particles, drops, bubbles, and small …

I have developed a physics-assimilated convolutional autoencoder (CAE) neural network,
namely, PhyAENet, to carry out nonlinear mode decomposition of the unsteady flow field …

A turbulent circular disk wake database (Chongsiripinyo & Sarkar, J. Fluid Mech., vol. 885,
2020) at Reynolds number streamwise vortices, which leads to streak formation through the …

Airfoil stall induced by unsteady flow separation is a major inhibitor that constrains the
aircraft design. Hence, it is critical to have a better understanding of the flow dynamics …

Ventilated cavitating flows are investigated via direct numerical simulations, using a coupled
level set and volume of fluid method to capture the interface between the air and water …

This article investigates the applications of wavelet transforms and machine learning
methods in studying turbulent flows. The wavelet-based hierarchical eddy-capturing …

Through comparing with the tandem circular and elliptic cylinders with the same
characteristic dimensions, the behavior of flow and flow-induced noise generated around …

Spectral proper orthogonal decomposition (SPOD) is performed to identify the
spatiotemporal coherent structures of trailing edge cutback film cooling flows. The analyzed …

This work investigates the spatio-temporal evolution of coherent structures in the wake of a
generic high-speed train, based on a three-dimensional database from large eddy …

A stratified wake has multiple flow regimes, and exhibits different behaviors in these regimes
due to the competing physical effects of momentum and buoyancy. This work aims at …