skip to main content

DOE PAGESDOE PAGES

Title: Accurate interatomic force fields via machine learning with covariant kernels

Authors:
; ;
Publication Date:
Grant/Contract Number:
AC02-06CH11357
Type:
Publisher's Accepted Manuscript
Journal Name:
Physical Review B
Additional Journal Information:
Journal Name: Physical Review B Journal Volume: 95 Journal Issue: 21; Journal ID: ISSN 2469-9950
Publisher:
American Physical Society
Sponsoring Org:
USDOE
Country of Publication:
United States
Language:
English
OSTI Identifier:
1372519

Glielmo, Aldo, Sollich, Peter, and De Vita, Alessandro. Accurate interatomic force fields via machine learning with covariant kernels. United States: N. p., Web. doi:10.1103/PhysRevB.95.214302.
Glielmo, Aldo, Sollich, Peter, & De Vita, Alessandro. Accurate interatomic force fields via machine learning with covariant kernels. United States. doi:10.1103/PhysRevB.95.214302.
Glielmo, Aldo, Sollich, Peter, and De Vita, Alessandro. 2017. "Accurate interatomic force fields via machine learning with covariant kernels". United States. doi:10.1103/PhysRevB.95.214302.
@article{osti_1372519,
title = {Accurate interatomic force fields via machine learning with covariant kernels},
author = {Glielmo, Aldo and Sollich, Peter and De Vita, Alessandro},
abstractNote = {},
doi = {10.1103/PhysRevB.95.214302},
journal = {Physical Review B},
number = 21,
volume = 95,
place = {United States},
year = {2017},
month = {6}
}

Works referenced in this record:

Generalized Gradient Approximation Made Simple
journal, October 1996
  • Perdew, John P.; Burke, Kieron; Ernzerhof, Matthias
  • Physical Review Letters, Vol. 77, Issue 18, p. 3865-3868
  • DOI: 10.1103/PhysRevLett.77.3865

Cramming More Components Onto Integrated Circuits
journal, January 1998

Self-consistent-charge density-functional tight-binding method for simulations of complex materials properties
journal, September 1998
  • Elstner, M.; Porezag, D.; Jungnickel, G.
  • Physical Review B, Vol. 58, Issue 11, p. 7260-7268
  • DOI: 10.1103/PhysRevB.58.7260