Dissipative particle dynamics (DPD) is one of the most efficient mesoscale coarse-grained
methodologies for modeling soft matter systems. Here, we comprehensively review the …

▪ Abstract Flow simulations are one of the archetypal multiscale problems. Simulations of
turbulent and unsteady separated flows have to resolve a multitude of interacting scales …

Dissipative particle dynamics (DPD) belongs to a class of models and computational
algorithms developed to address mesoscale problems in complex fluids and soft matter in …

Hydrodynamic cosmological simulations at present usually employ either the Lagrangian
smoothed particle hydrodynamics (SPH) technique or Eulerian hydrodynamics on a …

A multi-phase smoothed particle hydrodynamics (SPH) method for both macroscopic and
mesoscopic flows is proposed. Since the particle-averaged spatial derivative …

We discuss differences in simulation results that arise between the use of either the thermal
energy or the entropy as an independent variable in smoothed particle hydrodynamics …

We present a fluid particle model that is both a thermodynamically consistent version of
smoothed particle hydrodynamics (SPH) and a version of dissipative particle dynamics …

The simulation of physical systems requires a simplified, hierarchical approach which
models each level from the atomistic to the macroscopic scale. From quantum mechanics to …

This review is concerned with the nonequilibrium dynamics and structure of complex fluids
based on simple micro-and mesoscopic physical models which are not rigorously solvable …

The dissipative particle dynamics (DPD) technique is a relatively new mesoscale technique
which was initially developed to simulate hydrodynamic behavior in mesoscopic complex …