Towards exact molecular dynamics simulations with machine-learned force fields

Simultaneous accurate and efficient prediction of molecular properties relies on combined quantum mechanics and machine learning approaches. Here the authors develop a flexible machine-learning force-field with high-level accuracy for molecular dynamics simulations.

Bibliographic Details
Main Authors: Stefan Chmiela, Huziel E. Sauceda, Klaus-Robert Müller, Alexandre Tkatchenko
Format: Article
Language:English
Published: Nature Portfolio 2018-09-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-018-06169-2