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

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 …

Polymeric materials display distinguished characteristics which stem from the interplay of
phenomena at various length and time scales. Further development of polymer systems …

The mechanical and physical properties of polymeric materials originate from the interplay of
phenomena at different spatial and temporal scales. As such, it is necessary to adopt …

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 …

A hierarchical (triple scale) simulation methodology is presented for the prediction of the
dynamical and rheological properties of high molecular-weight entangled polymer melts …

Many physical phenomena and properties of soft matter systems are characterized by an
interplay of interactions and processes that span a wide range of length-and time scales …

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

Coupled length and time scales determine the dynamic behavior of polymers and underlie
their unique viscoelastic properties. To resolve the long-time dynamics it is imperative to …

Diphenylalanine (FF) is a very common peptide with many potential applications, both
biological and technological, due to a large number of different nanostructures which it …