This review is motivated by the fast progress in our understanding of the physics of particle-
laden turbulence in the last decade, partly due to the tremendous advances of measurement …

When very small particles are suspended in a fluid in motion, they tend to follow the flow.
How such tracer particles are mixed, transported, and dispersed by turbulent flow has been …

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 …

Chaos: from simple models to complex systems aims to guide science and engineering
students through chaos and nonlinear dynamics from classical examples to the most recent …

An approach to the time-accurate prediction of chaotic solutions is by learning temporal
patterns from data. Echo State Networks (ESNs), which are a class of Reservoir Computing …

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 …

The dynamics of heavy particles suspended in turbulent flows is of fundamental importance
for a wide range of questions in astrophysics, atmospheric physics, oceanography, and …

We present a collection of eight data sets from state-of-the-art experiments and numerical
simulations on turbulent velocity statistics along particle trajectories obtained in different …

Three-dimensional particle tracking velocimetry (PTV) and phase-sensitive constant
temperature anemometry in pseudo-turbulence–ie flow solely driven by rising bubbles–were …

We conduct numerical experiments to investigate the spatial clustering of particles and
bubbles in simulations of homogeneous and isotropic turbulence. On varying the Stokes …