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 …

Over the last century, classical optical coherence has developed from a few vaguely related
concepts into a standing along branch of optics and, more broadly, electromagnetics, that …

In this paper, we train turbulence models based on convolutional neural networks. These
learned turbulence models improve under-resolved low-resolution solutions to the …

Contemporary paradigm of peripheral and intracranial vascular hemodynamics considers
physiologic blood flow to be laminar. Transition to turbulence is considered as a driving …

Elasto-inertial turbulence (EIT) is a new state of turbulence found in inertial flows with
polymer additives. The dynamics of turbulence generated and controlled by such additives …

These notes originated from a series of lectures given at Waseda University in April–May
2021, supported by Top Global University Project of Waseda University. The first author …

In this paper, we present numerical simulations of rapidly rotating Rayleigh-Bénard
convection in the Boussinesq approximation with stress-free boundary conditions. At …

We collect and describe the observed geometrical and dynamical properties of turbulence in
quantum fluids, particularly superfluid helium and atomic condensates for which more …

This investigation questions the importance of inverse interscale energy fluxes, the so-called
energy backscatter, for the modelling of the energy cascade in large-eddy simulations (LES) …

In this work we investigate, by means of direct numerical hyperviscous simulations, how
rotation affects the bidimensionalization of a turbulent flow. We study a thin layer of fluid …