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.

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Bibliographic Details
Main Authors: Stefan Chmiela, Huziel E. Sauceda, Klaus-Robert Müller, Alexandre Tkatchenko
Format: article
Language:EN
Published: Nature Portfolio 2018
Subjects:
Q
Online Access:https://doaj.org/article/ff08188a278c46cf94786ba5ea9f5f6f
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