Mesoscopic Modelling and Simulation of Soft Matter

TL;DR

This paper reviews various mesoscopic simulation methods like Langevin dynamics, dissipative particle dynamics, and lattice-Boltzmann for modeling the hydrodynamics of soft condensed matter, emphasizing their multiscale capabilities and computational aspects.

Contribution

It provides a comprehensive overview of popular mesoscopic simulation techniques and discusses current high-performance computing architectures for soft matter modeling.

Findings

Comparison of simulation methods for soft matter.

Discussion of computational architectures for high-performance simulations.

Insights into the multiscale modeling of soft condensed matter.

Abstract

The deformability of soft condensed matter often requires modelling of hydrodynamical aspects to gain quantitative understanding. This, however, requires specialised methods that can resolve the multiscale nature of soft matter systems. We review a number of the most popular simulation methods that have emerged, such as Langevin dynamics, dissipative particle dynamics, multi-particle collision dynamics, sometimes also referred to as stochastic rotation dynamics, and the lattice-Boltzmann method. We conclude this review with a short glance at current compute architectures for high-performance computing and community codes for soft matter simulation.