Space-time correlation is a staple method for investigating the dynamic coupling of spatial
and temporal scales of motion in turbulent flows. In this article, we review the space-time …

This paper reviews some of the principal uses, over almost seven decades, of correlations,
in both Eulerian and Lagrangian frames of reference, of properties of turbulent flows at …

A dynamic nonlinear algebraic model with scale-similarity dynamic procedure (DNAM-SSD)
is proposed for subgrid-scale (SGS) stress in large-eddy simulation of turbulence. The …

Density-unweighted methods in large-eddy simulations (LES) of turbulence have received
little attention, and the modeling of unclosed terms using density-unweighted methods even …

This paper provides a comprehensive introduction to the major progress in transition and
turbulence studies in China over the past thirty years. Despite the author's best efforts, there …

Based on the framework of deconvolutional artificial neural network (DANN) proposed by
Yuan et al.[DOI: https://doi. org/10.1063/5.0027146], we extend the DANN approach to …

The effects of subgrid scale (SGS) motions on the dispersion of heavy particles raise a
challenge to the large-eddy method of simulation (LES). As a necessary first step, we …

We show by direct numerical simulation (DNS) that the Lagrangian cross correlation of
velocity gradients in homogeneous isotropic turbulence increases at short times, whereas its …

Qian (Tsien) Jian (1939–2018), a Chinese theoretical physicist and fluid dynamicist, devoted
the second part of his scientific life to the physical understanding of small-scale turbulence to …

Particle-laden turbulent flows are ubiquitous in natural and engineering flows. The
preferential concentration and pair-statistics of heavy particles at small and intermediate …