Metadynamics of paths
Computational Physics
2020-07-15 v3 Chemical Physics
Abstract
We present a method to sample reactive pathways via biased molecular dynamics simulations in trajectory space. We show that the use of enhanced sampling techniques enables unconstrained exploration of multiple reaction routes. Time correlation functions are conveniently computed via reweighted averages along a single trajectory and kinetic rates are accessed at no additional cost. These abilities are illustrated analyzing a model potential and the umbrella inversion of NH in water. The algorithm allows a parallel implementation and promises to be a powerful tool for the study of rare events.
Cite
@article{arxiv.2002.09281,
title = {Metadynamics of paths},
author = {Davide Mandelli and Barak Hirshberg and Michele Parrinello},
journal= {arXiv preprint arXiv:2002.09281},
year = {2020}
}
Comments
Main Text: 5 pages, 5 figures, 7 equations. Supplemental Material: 6 pages, 11 figures, 11 equations