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

This review discusses Operator Inference, a nonintrusive reduced modeling approach that
incorporates physical governing equations by defining a structured polynomial form for 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 …

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

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 …

Preserving the correct dynamics at the coarse-grained (CG) level is a pressing problem in
the development of systematic CG models in soft matter simulation. Starting from the seminal …

Materials for organic electronics are presently used in prominent applications, such as
displays in mobile devices, while being intensely researched for other purposes, such as …

We consider the Brownian motion of a particle and present a tutorial review over the last 111
years since Einstein's paper in 1905. We describe Einstein's model, Langevin's model and …

Polymer materials are multiscale systems by definition. Already the description of a single
macromolecule involves a multitude of scales, and cooperative processes in polymer …

For the simulations of polymeric systems, coarse‐grained (CG) molecular dynamics
simulations are computationally demanding not only because of their high computational …