Multi-Particle Collision Dynamics -- a Particle-Based Mesoscale Simulation Approach to the Hydrodynamics of Complex Fluids
G. Gompper, T. Ihle, D.M. Kroll, R.G. Winkler

TL;DR
This paper reviews multi-particle collision dynamics (MPC), a mesoscale simulation method for complex fluid hydrodynamics, highlighting algorithms, derivations, generalizations, and recent applications in colloid, polymer, and biological systems.
Contribution
It provides a comprehensive overview of MPC algorithms, their theoretical foundations, and recent practical applications in modeling complex fluids and biological systems.
Findings
MPC captures hydrodynamic interactions and thermal fluctuations effectively.
Algorithms can be generalized to non-ideal fluids and mixtures.
Recent applications include colloid, polymer, vesicle, and cell dynamics.
Abstract
In this review, we describe and analyze a mesoscale simulation method for fluid flow, which was introduced by Malevanets and Kapral in 1999, and is now called multi-particle collision dynamics (MPC) or stochastic rotation dynamics (SRD). The method consists of alternating streaming and collision steps in an ensemble of point particles. The multi-particle collisions are performed by grouping particles in collision cells, and mass, momentum, and energy are locally conserved. This simulation technique captures both full hydrodynamic interactions and thermal fluctuations. The first part of the review begins with a description of several widely used MPC algorithms and then discusses important features of the original SRD algorithm and frequently used variations. Two complementary approaches for deriving the hydrodynamic equations and evaluating the transport coefficients are reviewed. It is…
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