Machine-learning approach for one- and two-body corrections to density functional theory: Applications to molecular and condensed water
10.1103/physrevb.88.054104
Crossref journal-article
American Physical Society (APS)
Physical Review B (16)
Bibliography

Bartók, A. P., Gillan, M. J., Manby, F. R., & Csányi, G. (2013). Machine-learning approach for one- and two-body corrections to density functional theory: Applications to molecular and condensed water. Physical Review B, 88(5).

Authors 4
  1. Albert P. Bartók (first)
  2. Michael J. Gillan (additional)
  3. Frederick R. Manby (additional)
  4. Gábor Csányi (additional)
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Dates
Type When
Created 12 years ago (Aug. 8, 2013, 12:35 p.m.)
Deposited 6 years, 1 month ago (July 20, 2019, 1:19 p.m.)
Indexed 2 weeks, 2 days ago (Aug. 5, 2025, 9:02 a.m.)
Issued 12 years ago (Aug. 8, 2013)
Published 12 years ago (Aug. 8, 2013)
Published Online 12 years ago (Aug. 8, 2013)
Funders 0

None

@article{Bart_k_2013, title={Machine-learning approach for one- and two-body corrections to density functional theory: Applications to molecular and condensed water}, volume={88}, ISSN={1550-235X}, url={http://dx.doi.org/10.1103/physrevb.88.054104}, DOI={10.1103/physrevb.88.054104}, number={5}, journal={Physical Review B}, publisher={American Physical Society (APS)}, author={Bartók, Albert P. and Gillan, Michael J. and Manby, Frederick R. and Csányi, Gábor}, year={2013}, month=aug }