[HTML][HTML] Lectures on turbulence

R Benzi, F Toschi - Physics Reports, 2023 - Elsevier
Fluid dynamics turbulence refers to the chaotic and unpredictable dynamics of flows.
Despite the fact that the equations governing the motion of fluids are known since more than …

Data reconstruction for complex flows using AI: Recent progress, obstacles, and perspectives

M Buzzicotti - Europhysics Letters, 2023 - iopscience.iop.org
In recent years the fluid mechanics community has been intensely focused on pursuing
solutions to its long-standing open problems by exploiting the new machine learning (ML) …

Synchronizing subgrid scale models of turbulence to data

M Buzzicotti, P Clark Di Leoni - Physics of Fluids, 2020 - pubs.aip.org
Large eddy simulations of turbulent flows are powerful tools used in many engineering and
geophysical settings. Choosing the right value of the free parameters for their subgrid scale …

Inferring turbulent environments via machine learning

M Buzzicotti, F Bonaccorso - The European Physical Journal E, 2022 - Springer
The problem of classifying turbulent environments from partial observation is key for some
theoretical and applied fields, from engineering to earth observation and astrophysics, eg, to …

Hidden scale invariance of turbulence in a shell model: From forcing to dissipation scales

AA Mailybaev - Physical Review Fluids, 2023 - APS
Intermittency is one of the central obstacles for understanding small-scale dynamics in the
fully developed hydrodynamic turbulence. The modern approach is largely based on the …

Spatio‐temporal coarse‐graining decomposition of the global ocean geostrophic kinetic energy

M Buzzicotti, BA Storer, H Khatri… - Journal of Advances …, 2023 - Wiley Online Library
We expand on a recent determination of the first global energy spectrum of the ocean's
surface geostrophic circulation (Storer et al., 2022, https://doi. org/10.1038/s41467-022 …

Turbulence scaling from deep learning diffusion generative models

T Whittaker, RA Janik, Y Oz - Journal of Computational Physics, 2024 - Elsevier
Complex spatial and temporal structures are inherent characteristics of turbulent fluid flows
and comprehending them poses a major challenge. This comprehension necessitates an …

Constrained reversible system for Navier-Stokes turbulence

A Jaccod, S Chibbaro - Physical review letters, 2021 - APS
Following a Gallavotti's conjecture, stationary states of Navier-Stokes fluids are proposed to
be described equivalently by alternative equations besides the Navier-Stokes equation …

Neural network complexity of chaos and turbulence

T Whittaker, RA Janik, Y Oz - The European Physical Journal E, 2023 - Springer
Chaos and turbulence are complex physical phenomena, yet a precise definition of the
complexity measure that quantifies them is still lacking. In this work, we consider the relative …

Constrained large-eddy simulation of turbulent flow over rough walls

W Zhang, M Wan, Z Xia, J Wang, X Lu, S Chen - Physical Review Fluids, 2021 - APS
Recent research indicates that the structure of the wall-bounded turbulence depends on the
mean shear created by the wall. To examine the response of the wall turbulence to the …