Commit db86915e authored by Christoph Rettinger's avatar Christoph Rettinger
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# waLBerla
waLBerla (widely applicable Lattice Boltzmann from Erlangen) is a massively
parallel framework for multi physics applications. Besides its original
objective, Lattice Boltzmann solvers for hydrodynamics, it now contains
modules for other applications like Multigrid and rigid body dynamics
as well. Great emphasis is placed on the interoperability between the modules
in particular the fluid-particle coupling.
It scales from laptops to current and future supercomputers while maintaining
waLBerla (widely applicable Lattice Boltzmann from Erlangen) is a massively
parallel framework for multi physics applications. Besides its original
objective, Lattice Boltzmann solvers for hydrodynamics, it now contains
modules for other applications like Multigrid and rigid body dynamics
as well. Great emphasis is placed on the interoperability between the modules
in particular the fluid-particle coupling.
It scales from laptops to current and future supercomputers while maintaining
near-perfect efficiency.
See https://www.walberla.net/ for more information and a showcase of applications.
......@@ -48,27 +48,28 @@ Many thanks go to waLBerla's [contributors](AUTHORS.txt)
If you use waLBerla in a publication, please cite the following articles:
Overview:
- M. Bauer et al, *waLBerla: A block-structured high-performance framework for
multiphysics simulations*. Computers & Mathematics with Applications, 2020,
- M. Bauer et al, *waLBerla: A block-structured high-performance framework for
multiphysics simulations*. Computers & Mathematics with Applications, 2020.
https://doi.org/10.1016/j.camwa.2020.01.007.
Grid Refinement:
- F. Schornbaum and U. Rüde, *Massively parallel algorithms for the lattice boltzmann
method on nonuniform grids*. SIAM Journal on Scientific Computing, 2016.
- F. Schornbaum and U. Rüde, *Massively parallel algorithms for the lattice boltzmann
method on nonuniform grids*. SIAM Journal on Scientific Computing, 2016.
https://doi.org/10.1137/15M1035240
LBM - Particles Coupling:
- C. Rettinger and U. Rüde, *Dynamic load balancing techniques for particulate flow simulations*.
Computation, 2019. https://doi.org/10.3390/computation7010009
LBM - Particle Coupling:
- C. Rettinger and U. Rüde, *A comparative study of fluid-particle coupling methods for
fully resolved lattice Boltzmann simulations*. Computers & Fluids, 2017.
https://doi.org/10.1016/j.compfluid.2017.05.033
MESA-PD:
- S. Eibl and U. Rüde, *A Modular and Extensible Software Architecture for Particle Dynamics*.
- S. Eibl and U. Rüde, *A Modular and Extensible Software Architecture for Particle Dynamics*.
Proceedings Of The 8Th International Conference On Discrete Element Methods.
https://mercurylab.co.uk/dem8/full-papers/#page-content
Carbon Nanotubes:
- G. Drozdov et al, *Densification of single-walled carbon nanotube films:
Mesoscopic distinct element method simulations and experimental validation*.
- G. Drozdov et al, *Densification of single-walled carbon nanotube films:
Mesoscopic distinct element method simulations and experimental validation*.
Journal of Applied Physics, 2020. https://doi.org/10.1063/5.0025505
## License
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