Balance between accuracy and simplicity in empirical forcefields for glass modeling: Insights from machine learning
- Award ID(s):
- 1762292
- PAR ID:
- 10100034
- Date Published:
- Journal Name:
- Journal of Non-Crystalline Solids
- Volume:
- 515
- Issue:
- C
- ISSN:
- 0022-3093
- Page Range / eLocation ID:
- 133 to 142
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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