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 modeling of realistic cell membranes

SJ Marrink, V Corradi, PCT Souza, HI Ingolfsson… - Chemical …, 2019 - ACS Publications
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 …

Machine learning of coarse-grained molecular dynamics force fields

J Wang, S Olsson, C Wehmeyer, A Pérez… - ACS central …, 2019 - ACS Publications
Atomistic or ab initio molecular dynamics simulations are widely used to predict
thermodynamics and kinetics and relate them to molecular structure. A common approach to …

A review of advancements in coarse-grained molecular dynamics simulations

SY Joshi, SA Deshmukh - Molecular Simulation, 2021 - Taylor & Francis
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 …

Chemically specific coarse‐graining of polymers: Methods and prospects

S Dhamankar, MA Webb - Journal of Polymer Science, 2021 - Wiley Online Library
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 …

Coarse-graining auto-encoders for molecular dynamics

W Wang, R Gómez-Bombarelli - npj Computational Materials, 2019 - nature.com
Molecular dynamics simulations provide theoretical insight into the microscopic behavior of
condensed-phase materials and, as a predictive tool, enable computational design of new …

Designing promising molecules for organic solar cells via machine learning assisted virtual screening

H Sahu, F Yang, X Ye, J Ma, W Fang… - Journal of Materials …, 2019 - pubs.rsc.org
Navigating chemical space for organic photovoltaics (OPVs) is in high demand for further
increasing the device efficiency, which can be accelerated through virtual screening of a …

Data driven discovery of MOFs for hydrogen gas adsorption

SK Singh, AT Sose, F Wang, KK Bejagam… - Journal of Chemical …, 2023 - ACS Publications
Hydrogen gas (H2) is a clean and renewable energy source, but the lack of efficient and cost-
effective storage materials is a challenge to its widespread use. Metal–organic frameworks …

Molecular modeling investigations of sorption and diffusion of small molecules in Glassy polymers

N Vergadou, DN Theodorou - Membranes, 2019 - mdpi.com
With a wide range of applications, from energy and environmental engineering, such as in
gas separations and water purification, to biomedical engineering and packaging, glassy …

CGCompiler: Automated Coarse-Grained Molecule Parametrization via Noise-Resistant Mixed-Variable Optimization

KS Stroh, PCT Souza, L Monticelli… - Journal of Chemical …, 2023 - ACS Publications
Coarse-grained force fields (CG FFs) such as the Martini model entail a predefined, fixed set
of Lennard-Jones parameters (building blocks) to model virtually all possible nonbonded …