Accurate and Efficient Splitting Methods for Dissipative Particle Dynamics

Splitting for Dissipative Particle Dynamics

We study numerical methods for dissipative particle dynamics, a system of stochastic differential equations for simulating particles interacting pairwise according to a soft potential at constant temperature where the total momentum is conserved. We introduce splitting methods and examine the behavior of these methods experimentally. The performance of the methods, particularly temperature cont...

A splitting scheme for highly dissipative Smoothed Dissipative Particle Dynamics

Smoothed Dissipative Particle Dynamics (SDPD) is a novel coarse-grained mesoscopic method for the simulation of complex fluids representing the effect of microscopic scales by a stochastic process. It has some advantages over more traditional particle-based methods but, on the other hand, shares some problems common to particle-based simulations of microfluidic systems. In particular a prohibit...

Dissipative Particle Dynamics and Other Particle Methods for Multiphase Fluid Flow in Fractured and Porous Media

Particle methods are much less computationally efficient than grid based numerical solution of the Navier Stokes equation, and they have been used much less extensively, particularly for engineering applications. However, they have important advantages for some applications. These advantages include rigorous mass conservation, momentum conservation and isotropy. In addition, there is no need fo...

Anisotropic single-particle dissipative particle dynamics model

Dynamical geometry for multiscale dissipative particle dynamics

In this paper, we review the computational aspects of a multiscale dissipative particle dynamics model for complex fluid simulations based on the feature-rich geometry of the Voronoi tessellation. The geometrical features of the model are critical since the mesh is directly connected to the physics by the interpretation of the Voronoi volumes of the tessellation as coarse-grained fluid clusters...