Update README.md

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 
+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
 
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