Machine-learned coarse-grained (CG) models have the potential for simula...
Coarse-grained (CG) molecular dynamics enables the study of biological
p...
A generalized understanding of protein dynamics is an unsolved scientifi...
Accurate modeling of the solvent environment for biological molecules is...
Molecular dynamics simulations provide a mechanistic description of mole...
Coarse graining enables the investigation of molecular dynamics for larg...
Gradient-domain machine learning (GDML) is an accurate and efficient app...
Many aspects of the study of protein folding and dynamics have been affe...
Machine learning (ML) is transforming all areas of science. The complex ...
We derive a data-driven method for the approximation of the Koopman gene...
Recent years have seen rapid advances in the data-driven analysis of
dyn...
Atomistic or ab-initio molecular dynamics simulations are widely used to...
With the rapid increase of available data for complex systems, there is ...