Neural network potential from bispectrum components: A case study on crystalline silicon
- Award ID(s):
- 1940272
- PAR ID:
- 10181513
- Publisher / Repository:
- American Institute of Physics
- Date Published:
- Journal Name:
- The Journal of Chemical Physics
- Volume:
- 153
- Issue:
- 5
- ISSN:
- 0021-9606
- Page Range / eLocation ID:
- Article No. 054118
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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