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

Turbulent flows are characterized by the non-linear cascades of energy and other inviscid
invariants across a huge range of scales, from where they are injected to where they are …

This is an advanced textbook on the subject of turbulence, and is suitable for engineers,
physical scientists and applied mathematicians. The aim of the book is to bridge the gap …

Gas-solid fluidization technology has been commercialized in many industrial applications
since its implementation in the fluid catalytic cracking process in the early 1940s, however …

This paper reviews the problems and successes of computing turbulent flow. Most of the flow
phenomena that are important to modern technology involve turbulence. The review is …

Understanding and predicting turbulent flow phenomena remain a challenge for both theory
and applications. The nonlinear and nonlocal character of small-scale turbulence can be …

The properties of the structure functions and other small-scale quantities in turbulent
Rayleigh-Bénard convection are reviewed, from an experimental, theoretical, and numerical …

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 …

In this paper, we introduce a modular deep neural network (DNN) framework for data-driven
reduced order modeling of dynamical systems relevant to fluid flows. We propose various …

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