[HTML][HTML] Entropic lattice Boltzmann methods: A review
In the late 90's and early 2000's the concept of a discrete H theorem and Lyapunov
functionals as a way to ensure stability of lattice Boltzmann solvers was a shift of paradigm in …
functionals as a way to ensure stability of lattice Boltzmann solvers was a shift of paradigm in …
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) …
solutions to its long-standing open problems by exploiting the new machine learning (ML) …
LBM-MHD data-driven approach to predict Rayleigh–Bénard convective heat transfer by Levenberg–Marquardt algorithm
This study aims to consider lattice Boltzmann method (LBM)–magnetohydrodynamics (MHD)
data to develop equations to predict the average rate of heat transfer quantitatively. The …
data to develop equations to predict the average rate of heat transfer quantitatively. The …
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 …
theoretical and applied fields, from engineering to earth observation and astrophysics, eg, to …
Spatio‐temporal coarse‐graining decomposition of the global ocean geostrophic kinetic energy
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 …
surface geostrophic circulation (Storer et al., 2022, https://doi. org/10.1038/s41467-022 …
Essentially entropic lattice Boltzmann model: Theory and simulations
We present a detailed description of the essentially entropic lattice Boltzmann model. The
entropic lattice Boltzmann model guarantees unconditional numerical stability by iteratively …
entropic lattice Boltzmann model guarantees unconditional numerical stability by iteratively …
Classifying Turbulent Environments via Machine Learning
M Buzzicotti, F Bonaccorso - arXiv preprint arXiv:2201.00732, 2022 - arxiv.org
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 …
theoretical and applied fields, from engineering to earth observation and astrophysics, eg to …