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 …

A kinematic simulation with an approximate deconvolution (KSAD) hybrid model is proposed
to predict the Lagrangian relative dispersion of fluid particles in a large eddy simulation …

A new super-resolution model, namely the turbulence volumetric super-resolution (TVSR)
model, is developed based on convolutional neural network (CNN) to reconstruct three …

Clustering (or preferential concentration) of inertial particles suspended in a homogeneous,
isotropic turbulent flow is strongly influenced by the smallest scales of the turbulence. In …

Two different approaches are used for evaluating two-time correlations of Fourier velocity
modes in isotropic and in rotating homogeneous incompressible turbulence. A synthetic …

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 …

A novel propeller with the blade tips joined in pairs, named Boxprop, is designed and
optimized for a conceptual electric aircraft using an efficient optimization platform. According …

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

We propose a hybrid quantum-classical method, the quantum-enriched large-eddy
simulation (QELES), for simulating turbulence. The QELES combines the large-scale motion …

Turbulent flows in minimal flow units (MFUs) provide intrinsic information on near-wall
physics of turbulence and help to develop useful models for numerical simulations. In the …