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README.md

 # 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 near-perfect efficiency.
+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.
 
 ## Documentation and Tutorials
 
 Documentation for the C++ framework is available in
-[Doxygen](http://walberla.net/doxygen/index.html), while the Python interface is documented
-in [Sphinx](http://walberla.net/sphinx/index.html).
+[Doxygen](http://walberla.net/doxygen/index.html), while the Python interface
+is documented in [Sphinx](http://walberla.net/sphinx/index.html).
 
 ## Getting started
 
 The minimum requirements are a C++17-compliant compiler (e.g. GCC or Clang)
 and the [CMake](http://www.cmake.org)
 build system. Furthermore, you need an MPI library (like
-[Open MPI](http://www.open-mpi.org)) if you want to make use of parallel processing capabilities. All of these dependencies are typically
-available in your operating system's package manager.
+[Open MPI](http://www.open-mpi.org)) if you want to make use of parallel
+processing capabilities. All of these dependencies are typically available in
+your operating system's package manager.
 
 ### CMake
 
@@ -58,8 +63,8 @@ the directory. This does **NOT** work anymore. Please use `Python_ROOT_DIR`.
 ### Contributing
 
 Please submit all code contributions on our
-[GitLab](https://i10git.cs.fau.de/walberla/walberla). To get an account, please sign and submit
-the [contributor license agreement](CONTRIBUTING.txt).
+[GitLab](https://i10git.cs.fau.de/walberla/walberla). To get an account, please
+sign and submit the [contributor license agreement](CONTRIBUTING.txt).
 
 ### Support
 
@@ -75,35 +80,30 @@ 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 - Particle Coupling:
-
-- C. Rettinger and U. Rüde, *A comparative study of fluid-particle coupling methods for fully resolved lattice Boltzmann simulations*.
-  Computers & Fluids, 2017.
+- 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*. Proceedings Of The 8Th International
-  Conference On Discrete Element Methods.
+- 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*. Journal of Applied Physics,
-  2020. https://doi.org/10.1063/5.0025505
+  Mesoscopic distinct element method simulations and experimental validation*.
+  Journal of Applied Physics, 2020. https://doi.org/10.1063/5.0025505
 
 ## License
 
-waLBerla is licensed under [GPLv3](COPYING.txt).
+waLBerla is licensed under [GPLv3](COPYING.txt).
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