Fluid turbulence is commonly associated with stronger drag, greater heat transfer, and more
efficient mixing than in laminar flows. In many natural and industrial settings, turbulent liquid …

The Voronoi entropy is a mathematical tool for quantitative characterization of the
orderliness of points distributed on a surface. The tool is useful to study various surface self …

We study experimentally the spatial distribution, settling and interaction of sub-Kolmogorov
inertial particles with homogeneous turbulence. Utilizing a zero-mean-flow air turbulence …

In this study, we analyse the statistics of both individual inertial particles and inertial particle
pairs in direct numerical simulations of homogeneous isotropic turbulence in the absence of …

Turbulent flows laden with inertial particles present multiple open questions and are a
subject of great interest in current research. Due to their higher density compared to the …

Despite the widely acknowledged significance of turbulence-driven clustering, a clear
topological definition of particle cluster in turbulent dispersed multiphase flows has been …

Particle-laden flows are of relevant interest in many industrial and natural systems. When the
carrier flow is turbulent, a striking feature is the phenomenon called preferential …

We develop a neural-network interpolation (NNI) to improve the prediction of preferential
concentration in simulations of particle-laden turbulence. The NNI uses the particle position …

The working principle of particle-based solar receivers is to utilize the absorptivity of a
dispersed particle phase in an otherwise optically transparent carrier fluid. In comparison to …

In dispersed two-phase flows, particle electrification is a prevalent phenomenon that plays a
crucial role in particle transport. However, the influences of electrostatic forces on particle …