Enhanced sampling methods for molecular dynamics simulations
Enhanced sampling algorithms have emerged as powerful methods to extend the utility of
molecular dynamics simulations and allow the sampling of larger portions of the …
molecular dynamics simulations and allow the sampling of larger portions of the …
Using metadynamics to explore complex free-energy landscapes
Metadynamics is an atomistic simulation technique that allows, within the same framework,
acceleration of rare events and estimation of the free energy of complex molecular systems …
acceleration of rare events and estimation of the free energy of complex molecular systems …
Promoting transparency and reproducibility in enhanced molecular simulations
Nature methods, 2019 - nature.com
The PLUMED consortium unifies developers and contributors to PLUMED, an open-source
library for enhanced-sampling, free-energy calculations and the analysis of molecular …
library for enhanced-sampling, free-energy calculations and the analysis of molecular …
Bias free multiobjective active learning for materials design and discovery
The design rules for materials are clear for applications with a single objective. For most
applications, however, there are often multiple, sometimes competing objectives where …
applications, however, there are often multiple, sometimes competing objectives where …
The martini model in materials science
The Martini model, a coarse‐grained force field initially developed with biomolecular
simulations in mind, has found an increasing number of applications in the field of soft …
simulations in mind, has found an increasing number of applications in the field of soft …
Machine learning for condensed matter physics
E Bedolla, LC Padierna… - Journal of Physics …, 2020 - iopscience.iop.org
Condensed matter physics (CMP) seeks to understand the microscopic interactions of matter
at the quantum and atomistic levels, and describes how these interactions result in both …
at the quantum and atomistic levels, and describes how these interactions result in both …
Recent advances in machine learning towards multiscale soft materials design
The multiscale design of soft materials requires an ensemble of computational techniques
spanning quantum-chemistry to molecular dynamics to continuum modeling. The recent …
spanning quantum-chemistry to molecular dynamics to continuum modeling. The recent …
Taming rugged free energy landscapes using an average force
Conspectus The observation of complex structural transitions in biological and abiological
molecular objects within time scales amenable to molecular dynamics (MD) simulations is …
molecular objects within time scales amenable to molecular dynamics (MD) simulations is …
Role of associative charging in the entropy–energy balance of polyelectrolyte complexes
Polyelectrolytes may be classified into two primary categories (strong and weak) depending
on how their charge state responds to the local environment. Both of these find use in many …
on how their charge state responds to the local environment. Both of these find use in many …
Pore-networked membrane using linked metal-organic polyhedra for trace-level pollutant removal and detection in environmental water
The wide presence of pharmaceuticals and personal care products (PPCPs) in water is a
major pollution concern even at the part per billion level, which urges their detection and …
major pollution concern even at the part per billion level, which urges their detection and …