SIMPLE aerodynamic configurations under even modest conditions can exhibit complex
flows with a wide range of temporal and spatial features. It has become common practice in …

This paper surveys machine-learning-based super-resolution reconstruction for vortical
flows. Super resolution aims to find the high-resolution flow fields from low-resolution data …

We designed and exclusively performed a wind tunnel experiment to obtain high-quality and
high-resolution measurement results for three components of mean and fluctuating …

In this review, we introduce immersed boundary (IB) methods for fluid-structure interactions
(FSIs) of rigid and elastic bodies. IB methods impose momentum forcing on an Eulerian …

Resolvent analysis is a powerful tool that can reveal the linear amplification mechanisms
between the forcing inputs and the response outputs about a base flow. These mechanisms …

Reinforcement learning is applied to the development of control strategies in order to reduce
skin friction drag in a fully developed turbulent channel flow at a low Reynolds number …

First-order turbulence closure schemes continue to be work-horse models for weather and
climate simulations. The turbulent Prandtl number, which represents the dissimilarity …

To draw concrete pictures of the hierarchy of multiscale coherent vortices in turbulence
behind a cylinder and to reveal their sustaining mechanism, we conduct direct numerical …

The unsteady planing motion in waves is a complicated problem, that can lead to
uncomfortable riding situation and structural damages due to large wave-induced dynamic …

With the rapid development of studies involving droplet microfluidics, drug delivery, cell
detection, and microparticle synthesis, among others, many scientists have invested …