Learning atoms for materials discovery
Journal Article
·
· Proceedings of the National Academy of Sciences of the United States of America
- Department of Physics, Stanford University, Stanford, CA 94305-4045,
- Department of Physics, Temple University, Philadelphia, PA 19122,
- Department of Physics, Stanford University, Stanford, CA 94305-4045,, Stanford Institute for Materials and Energy Sciences, SLAC National Accelerator Laboratory, Menlo Park, CA 94025
Significance Motivated by the recent achievements of artificial intelligence (AI) in linguistics, we design AI to learn properties of atoms from materials data on its own. Our work realizes knowledge representation of atoms via computers and could serve as a foundational step toward materials discovery and design fully based on machine learning.
- Sponsoring Organization:
- USDOE
- Grant/Contract Number:
- AC02-76SF00515; SC0012575
- OSTI ID:
- 1457210
- Alternate ID(s):
- OSTI ID: 1463356
- Journal Information:
- Proceedings of the National Academy of Sciences of the United States of America, Journal Name: Proceedings of the National Academy of Sciences of the United States of America Journal Issue: 28 Vol. 115; ISSN 0027-8424
- Publisher:
- Proceedings of the National Academy of SciencesCopyright Statement
- Country of Publication:
- United States
- Language:
- English
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