Representing potential energy surfaces by high-dimensional neural network potentials

The development of interatomic potentials employing artificial neural networks has seen tremendous progress in recent years. While until recently the applicability of neural network potentials (NNPs) has been restricted to low-dimensional systems, this limitation has now been overcome and high-dimen...

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Bibliographic Details
Published in:Journal of physics. Condensed matter Vol. 26; no. 18; p. 183001
Main Author: Behler, J
Format: Journal Article
Language:English
Published: England 07.05.2014
Subjects:
ISSN:1361-648X, 1361-648X
Online Access:Get more information
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