295 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Centre National de la Recherche ScientifiqueFR24 papers
- Friedrich-Alexander-Universität Erlangen-NürnbergDE19 papers
- Climat, Environnement, Couplages et IncertitudesFR15 papers
- Centre National d'Études SpatialesFR10 papers
- Institut National Polytechnique de ToulouseFR9 papers
- Université de ToulouseFR9 papers
- Électricité de France (France)FR8 papers
- Institut de Recherche en Informatique de ToulouseFR6 papers
- Institut national de recherche en sciences et technologies du numériqueFR6 papers
- Université Fédérale de Toulouse Midi-PyrénéesFR6 papers
- Université Toulouse III - Paul SabatierFR6 papers
- École Nationale Supérieure d'Électrotechnique, d'Électronique, d'Informatique, d'Hydraulique et des TélécommunicationsFR5 papers
9 papers · 1 filter
Scalable Flow Simulations with the Lattice Boltzmann Method
Markus Holzer, Jayesh Badwaik, Radim Vavrik +7
The primary goal of the EuroHPC JU project SCALABLE is to develop an industrial Lattice Boltzmann Method (LBM)-based computational fluid dynamics (CFD) solver capable of exploiting…
Learning Variational Data Assimilation Models and Solvers
Ronan Fablet, Bertrand Chapron, Lucas. Drumetz +3
This paper addresses variational data assimilation from a learning point of view. Data assimilation aims to reconstruct the time evolution of some state given a series of observati…
Linear stability of athermal regularized lattice Boltzmann methods
Gauthier Wissocq, Christophe Coreixas, Jean-François Boussuge
The present work is dedicated to a better understanding of the stability properties of regularized lattice Boltzmann (LB) schemes. To this extent, linear stability analyses of two-…
Physically interpretable machine learning algorithm on multidimensional non-linear fields
Rem-Sophia Mouradi, Cédric Goeury, Olivier Thual +2
In an ever-increasing interest for Machine Learning (ML) and a favorable data development context, we here propose an original methodology for data-based prediction of two-dimensio…
Analysis and reduction of spurious noise generated at grid refinement interfaces with the lattice Boltzmann method
Thomas Astoul, Gauhier Wissocq, Jean-François Boussuge +2
The present study focuses on the unphysical effects induced by the use of non-uniform grids in the lattice Boltzmann method. In particular, the convection of vortical structures ac…
Impact of collision models on the physical properties and the stability of lattice Boltzmann methods
C. Coreixas, G. Wissocq, B. Chopard +1
The lattice Boltzmann method (LBM) is known to suffer from stability issues when the collision model relies on the BGK approximation, especially in the zero viscosity limit and for…
Spatial coupling of an explicit temporal adaptive integration scheme with an implicit time integration scheme
Laurent Muscat, Guillaume Puigt, Marc Montagnac +1
The Reynolds-Averaged Navier-Stokes equations and the Large-Eddy Simulation equations can be coupled using a transition function to switch from a set of equations applied in some a…
A coupled implicit-explicit time integration method for compressible unsteady flows
Laurent Muscat, Guillaume Puigt, Marc Montagnac +1
This paper addresses how two time integration schemes, the Heun's scheme for explicit time integration and the second-order Crank-Nicolson scheme for implicit time integration, can…
Recursive regularization step for high-order lattice Boltzmann methods
Christophe Coreixas, Gauthier Wissocq, Guillaume Puigt +2
A lattice Boltzmann method (LBM) with enhanced stability and accuracy is presented for various Hermite tensor-based lattice structures. The collision operator relies on a regulariz…