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 …

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This review covers the scope of multiscale computational fluid dynamics (CFD), laying the
framework for studying hydrodynamics with and without chemical reactions in single and …

Abstract Domain decomposition (DD) is a powerful approach to numerically solve partial
differential equations, and it has become popular and indispensable in simulations of fluid …

Modelling multiscale systems from nanoscale to macroscale requires the use of atomistic
and continuum methods and, correspondingly, different computer codes. Here, we develop …

Memory effects are often introduced during coarse-graining of a complex dynamical system.
In particular, a generalized Langevin equation (GLE) for the coarse-grained (CG) system …

We present OpenRBC, a coarse-grained molecular dynamics code, which is capable of
performing an unprecedented in silico experiment—simulating an entire mammal red blood …

Modeling thrombus growth in pathological flows allows evaluation of risk under patient-
specific pharmacological, hematological, and hemodynamical conditions. We have …

Fuel consumption and energy efficiency are still of great interest in combustion engineering
and science. This state-of-the-art review revisits the fuel droplet heating and evaporation in …

An overview of the smoothed dissipative particle dynamics (SDPD) method is presented in a
format that tries to quickly answer questions that often arise among users and newcomers. It …