Abstract Rayleigh–Taylor (RT) and Richtmyer–Meshkov (RM) instabilities are well-known
pathways towards turbulent mixing layers, in many cases characterized by significant mass …

When discussing research in physics and in science more generally, it is common to ascribe
equal importance to the three components of the scientific trinity: theoretical, experimental …

Abstract Machine learning models are gaining increasing popularity in the domain of fluid
dynamics for their potential to accelerate the production of high-fidelity computational fluid …

In physical systems, a reduction in dimensionality often leads to exciting new phenomena.
Here we discuss the novel effects arising from the consideration of fluid turbulence confined …

In diverse areas of science and technology, including inertial confinement fusion (ICF),
astrophysics, geophysics, and engineering processes, turbulent mixing induced by …

For systems with long-range interactions, the two-body potential decays at large distances
as V (r)∼ 1/rα, with α≤ d, where d is the space dimension. Examples are: gravitational …

▪ Abstract Turbulence affects the structure and motions of nearly all temperature and density
regimes in the interstellar gas. This two-part review summarizes the observations, theory …

Adding energy to a system through transient stirring usually leads to more disorder. In
contrast, point-like vortices in a bounded two-dimensional fluid are predicted to reorder …

Smart active particles can acquire some limited knowledge of the fluid environment from
simple mechanical cues and exert a control on their preferred steering direction. Their goal …

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 …