This review article aims to provide a comprehensive and understandable account of the
theoretical foundation, modeling issues, and numerical implementation of the Lagrangian …

The Lagrangian description of turbulence is characterized by a unique conceptual simplicity
and by an immediate connection with the physics of dispersion and mixing. In this article, we …

Fiber tract trajectories in coherently organized brain white matter pathways were computed
from in vivo diffusion tensor magnetic resonance imaging (DT‐MRI) data. First, a continuous …

Direct numerical simulation of isotropic turbulence was used to investigate the effect of
turbulence on the concentration fields of heavy particles. The hydrodynamic field was …

An artificial neural network (ANN) is used to establish the relation between the resolved-
scale flow field and the subgrid-scale (SGS) stress tensor, to develop a new SGS model for …

A spectral forcing scheme is developed to provide the means to obtain statistically stationary
velocity fields in direct numerical simulations of homogeneous, isotropic turbulence. Tests of …

Turbulence in fluid flows is characterized by a wide range of interacting scales. Since the
scale range increases as some power of the flow Reynolds number, a faithful simulation of …

Particle-laden or droplet-laden turbulent flows occur in many industrial applications and in
natural phenomena. Knowledge about the properties of these flows can help to improve the …

The modification of decaying homogeneous turbulence due to its interaction with dispersed
small solid particles (d/η< 1), at a volumetric loading ratio φ v≤ 5× 10− 4, is studied using …

Direct numerical simulations of heavy particles suspended in a turbulent fluid are performed
to study the rate of inter-particle collisions as a function of the turbulence parameters and …