Large-scale computational molecular models provide scientists a means to investigate the
effect of microscopic details on emergent mesoscopic behavior. Elucidating the relationship …

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

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 …

Coarse‐grained (CG) modeling is an invaluable tool for the study of polymers and other soft
matter systems due to the span of spatiotemporal scales that typify their physics and …

The Mori-Zwanzig formalism for coarse-graining a complex dynamical system typically
introduces memory effects. The Markovian assumption of delta-correlated fluctuating forces …

Klaus Hasselmann's revolutionary intuition in climate science was to use the stochasticity
associated with fast weather processes to probe the slow dynamics of the climate system …

Coarse-grained (CG) models facilitate an efficient exploration of complex systems by
reducing the unnecessary degrees of freedom of the fine-grained (FG) system while …

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 …

Coarse-grained (CG) models can provide computationally efficient and conceptually simple
characterizations of soft matter systems. While generic models probe the underlying physics …

We present a bottom-up coarse-graining procedure to construct mesoscopic force fields
directly from microscopic dynamics. By grouping many bonded atoms in the molecular …