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Title: Machine Learning a General-Purpose Interatomic Potential for Silicon

Authors:
; ; ;
Publication Date:
Grant/Contract Number:
AC02-06CH11357
Type:
Published Article
Journal Name:
Physical Review X
Additional Journal Information:
Journal Name: Physical Review X Journal Volume: 8 Journal Issue: 4; Journal ID: ISSN 2160-3308
Publisher:
American Physical Society
Sponsoring Org:
USDOE
Country of Publication:
United States
Language:
English
OSTI Identifier:
1486912

Bartók, Albert P., Kermode, James, Bernstein, Noam, and Csányi, Gábor. Machine Learning a General-Purpose Interatomic Potential for Silicon. United States: N. p., Web. doi:10.1103/PhysRevX.8.041048.
Bartók, Albert P., Kermode, James, Bernstein, Noam, & Csányi, Gábor. Machine Learning a General-Purpose Interatomic Potential for Silicon. United States. doi:10.1103/PhysRevX.8.041048.
Bartók, Albert P., Kermode, James, Bernstein, Noam, and Csányi, Gábor. 2018. "Machine Learning a General-Purpose Interatomic Potential for Silicon". United States. doi:10.1103/PhysRevX.8.041048.
@article{osti_1486912,
title = {Machine Learning a General-Purpose Interatomic Potential for Silicon},
author = {Bartók, Albert P. and Kermode, James and Bernstein, Noam and Csányi, Gábor},
abstractNote = {},
doi = {10.1103/PhysRevX.8.041048},
journal = {Physical Review X},
number = 4,
volume = 8,
place = {United States},
year = {2018},
month = {12}
}

Works referenced in this record:

Transferable tight-binding models for silicon
journal, March 1994

Precise determination of lattice parameter and thermal expansion coefficient of silicon between 300 and 1500 K
journal, July 1984
  • Okada, Yasumasa; Tokumaru, Yozo
  • Journal of Applied Physics, Vol. 56, Issue 2, p. 314-320
  • DOI: 10.1063/1.333965

Special points for Brillouin-zone integrations
journal, June 1976
  • Monkhorst, Hendrik J.; Pack, James D.
  • Physical Review B, Vol. 13, Issue 12, p. 5188-5192
  • DOI: 10.1103/PhysRevB.13.5188