Turbulent flows are characterised by chaotic, multiscale motion that profoundly influences engineering, geophysical and biological systems. Direct numerical simulation (DNS) resolves all relevant ...

In his doctoral thesis, Michael Roop develops numerical methods that allow finding physically reliable approximate solutions to nonlinear differential equations used to model turbulence. Many ...

The article presents a study of a two-fluid turbulence model in the Comsol Multiphysics software package for the problem of a subsonic flow around the DSMA661 and NACA 4412 airfoils with angles of ...

Those who have searched for a pattern in the chaotic splatters of a Jackson Pollock painting may intuitively grasp turbulence and all its complexity. Now imagine Pollock’s swirls of paint in motion ...

A neural network image analysis method will help track the movement of microparticles in the Earth's atmosphere and space.

Whether the dust borne on the violent winds of a tornado or the sugar grains in a swirled cup of coffee, the behavior of particles carried along in turbulence is subject to some similarities—all of ...