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

The Martini model, a coarse‐grained force field for molecular dynamics simulations, has
been around for nearly two decades. Originally developed for lipid‐based systems by the …

By averaging over atomic details, coarse-grained (CG) models provide profound
computational and conceptual advantages for studying soft materials. In particular, bottom …

Over the last few years, coarse-grained molecular dynamics has emerged as a way to model
large and complex systems in an efficient and inexpensive manner due to its lowered …

The Martini model, a coarse-grained force field for biomolecular simulations, has found a
broad range of applications since its release a decade ago. Based on a building block …

The Martini coarse-grained force field has been successfully used for simulating a wide
range of (bio) molecular systems. Recent progress in our ability to test the model against …

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 …

Computational modeling of biological systems is challenging because of the multitude of
spatial and temporal scales involved. Replacing atomistic detail with lower resolution …

Connecting the molecular world to biology requires understanding how molecular-scale
dynamics propagate upward in scale to define the function of biological structures. To …

Multiscale modelling of soft matter is an emerging field that has made rapid progress in the
past decade. Several methods for systematic coarse-graining of molecular liquids and soft …