description: TP vs other OSS

paper/paper.bib

@@ -167,3 +167,11 @@ @misc{SPHinXsys
 	journal = {GitHub repository},
 	url = {https://github.com/Xiangyu-Hu/SPHinXsys}
 }
+
+@misc{Kratos,
+	title = {Kratos},
+	year = {2024},
+	publisher = {GitHub},
+	journal = {GitHub repository},
+	url = {https://github.com/KratosMultiphysics/Kratos}
+}

paper/paper.md

@@ -74,6 +74,15 @@ but also to scale up simulations efficiently.
 TODO:
 "A description of how this software compares to other commonly-used packages in this research area."
 
+There are several open-source software specialized for SPH methods, including [@DualSPHysics, @SplisHSPlasH, @SPHinXsys], written in C++, and  [@PySPH], written in Python.
+All of them couple different SPH methods. For other particle-based methods like DEM, there is e.g. [@Kratos], written in C++, which couples DEM with other mesh-based methods.
+
+TrixiParticles.jl provides support not only for coupling SPH methods but also for coupling other particle-based methods like DEM.
+Another aspect is that TrixiParticles.jl is not configured at runtime via a parameter file, as it is the case with other numerical simulation codes.
+Instead, each simulation is configured and set up by pure Julia code.
+
+TODO: Remove the table?
+
 | open-source software          |Programming language  |  GPU support |
 |-------------------------------|----------------------|--------------|
 | TrxiParticles.jl              | Julia                | yes          |