Coarse-grained (CG) models allow efficient molecular simulation by reducing the degrees of
freedom in the system. To recapitulate important physical properties, including many-body …

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

By eliminating unnecessary degrees of freedom, coarse-grained (CG) models tremendously
facilitate numerical calculations and theoretical analyses of complex phenomena. However …

Coarse-grained (CG) models enable highly efficient simulations of complex processes that
cannot be effectively studied with more detailed models. CG models are often parameterized …

Despite the high fidelity of bottom-up coarse-grained (CG) approaches to recapitulate the
structural correlations in atomistic simulations, the general use of bottom-up CG methods is …

Coarse-grained (CG) models facilitate efficient simulation of complex systems by integrating
out the atomic, or fine-grained (FG), degrees of freedom. Systematically derived CG models …

Coarse-graining, which models molecules with coarse-grained (CG) beads, allows
molecular dynamics simulations to be applied to systems with large length and time scales …

Bottom-up coarse-graining methods provide systematic tools for creating simplified models
of molecular systems. However, coarse-grained (CG) models produced with such methods …

Systematic bottom-up coarse-graining (CG) of molecular systems provides a means to
explore different coupled length and time scales while treating the molecular-scale physics …

Low-resolution coarse-grained (CG) models provide significant computational and
conceptual advantages for simulating soft materials. However, the properties of CG models …