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Erratum: "An accurate and transferable machine learning potential for carbon" [J. Chem. Phys. 153, 034702 (2020)].

Authors :
Rowe, Patrick
Deringer, Volker L.
Gasparotto, Piero
Csányi, Gábor
Michaelides, Angelos
Source :
Journal of Chemical Physics. 4/21/2022, Vol. 156 Issue 15, p1-2. 2p.
Publication Year :
2022

Abstract

Prompted by this observation, the reference dataset used to fit the GAP-20 model was recomputed, using DFT calculations with moreconsistent reciprocal-space sampling than was used in the original training data. (b) bcc atomization energy for updated GAP-20 model (GAP-20U); the better regularization of the model reduces the magnitude of the fluctuations, and the bcc atomization energy remains high. (a) bcc atomization energy for the original GAP-20 model, showing a bcc carbon minimum below the atomization energy of graphite. [Extracted from the article]

Details

Language :
English
ISSN :
00219606
Volume :
156
Issue :
15
Database :
Academic Search Index
Journal :
Journal of Chemical Physics
Publication Type :
Academic Journal
Accession number :
156474524
Full Text :
https://doi.org/10.1063/5.0091698