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...
Saved in:
Published in | Journal of physics. Condensed matter Vol. 26; no. 18; pp. 183001 - 24 |
---|---|
Main Author | |
Format | Journal Article |
Language | English |
Published |
England
IOP Publishing
07.05.2014
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Be the first to leave a comment!