However, when looking at the scale of the performance increase, the decisive advantage of the coarse-grained approach becomes apparent. It lies in the range from approximately 200 to 350, i.e., an improvement in performance in the range of two orders of magnitude can be observed. This performance improvement can be primarily attributed to two factors. First, the timestep in coarse-grained simulations is ten times larger than that in atomistic sim-ulations. Second, for the system under consideration, each coarse-grained bead represents, on average, approximately seven atoms, including hydrogens. This reduction in the number of particles (N ) decreases the computational complexity, leading to a performance improvement by a factor of approximately 49, assuming the O(N 2 ) scaling of classical MD simulations. When combined with the tenfold increase in timestep, the total theoretical performance improvement is around a factor of 490. It is important to note, however, that performance scaling often improves slightly better than N 2 due to algorithmic optimizations, which accounts for the slightly lower performance improvement observed in this study. As demonstrated by this and by the simulations presented in this paper, the utilization of these SOM models for longtime simulations can be accomplished with reasonable effort. This enables the investigation of diverse adsorption processes on longer time scales as well as the interactions between biomacromolecules and SOM.