Perspective: Advances, challenges, and insight for predictive coarse-grained models
WG Noid - The Journal of Physical Chemistry B, 2023 - ACS Publications
By averaging over atomic details, coarse-grained (CG) models provide profound
computational and conceptual advantages for studying soft materials. In particular, bottom …
computational and conceptual advantages for studying soft materials. In particular, bottom …
Computational modeling of realistic cell membranes
Cell membranes contain a large variety of lipid types and are crowded with proteins,
endowing them with the plasticity needed to fulfill their key roles in cell functioning. The …
endowing them with the plasticity needed to fulfill their key roles in cell functioning. The …
Martini 3: a general purpose force field for coarse-grained molecular dynamics
The coarse-grained Martini force field is widely used in biomolecular simulations. Here we
present the refined model, Martini 3 (http://cgmartini. nl), with an improved interaction …
present the refined model, Martini 3 (http://cgmartini. nl), with an improved interaction …
Modeling and simulations of polymers: a roadmap
Molecular modeling and simulations are invaluable tools for the polymer science and
engineering community. These computational approaches enable predictions and provide …
engineering community. These computational approaches enable predictions and provide …
Operando characterization of organic mixed ionic/electronic conducting materials
Operando characterization plays an important role in revealing the structure–property
relationships of organic mixed ionic/electronic conductors (OMIECs), enabling the direct …
relationships of organic mixed ionic/electronic conductors (OMIECs), enabling the direct …
A review of advancements in coarse-grained molecular dynamics simulations
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 …
large and complex systems in an efficient and inexpensive manner due to its lowered …
Perspective: Dissipative particle dynamics
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 …
algorithms developed to address mesoscale problems in complex fluids and soft matter in …
How water's properties are encoded in its molecular structure and energies
How are water's material properties encoded within the structure of the water molecule? This
is pertinent to understanding Earth's living systems, its materials, its geochemistry and …
is pertinent to understanding Earth's living systems, its materials, its geochemistry and …
The power of coarse graining in biomolecular simulations
Computational modeling of biological systems is challenging because of the multitude of
spatial and temporal scales involved. Replacing atomistic detail with lower resolution …
spatial and temporal scales involved. Replacing atomistic detail with lower resolution …
Chemically specific coarse‐graining of polymers: Methods and prospects
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 …
matter systems due to the span of spatiotemporal scales that typify their physics and …