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