Journal article
An accurate and transferable machine learning potential for carbon
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
-
(Preview, Accepted manuscript, pdf, 12.4MB, Terms of use)
-
- Publisher copy:
- 10.1063/5.0005084
Authors
- Publisher:
- AIP Publishing
- Journal:
- The Journal of Chemical Physics More from this journal
- Volume:
- 153
- Issue:
- 3
- Article number:
- 034702
- Publication date:
- 2020-07-21
- Acceptance date:
- 2020-06-01
- DOI:
- EISSN:
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1089-7690
- ISSN:
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0021-9606
- Language:
-
English
- Keywords:
- Pubs id:
-
1123015
- Local pid:
-
pubs:1123015
- Deposit date:
-
2020-07-31
- ARK identifier:
Terms of use
- Copyright holder:
- AIP Publishing
- Copyright date:
- 2020
- Rights statement:
- Published under license by AIP Publishing.
- Notes:
- This is the accepted manuscript version of the article. The final version is available from AIP Publishing at: https://doi.org/10.1063/5.0005084
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