Predicting the Electronic Structure of Matter on Ultra-Large Scales
- Center for Advanced Systems Understanding, Helmholtz-Zentrum Dresden-Rossendorf, Saxony (Germany)
- Sandia National Lab. (SNL-CA), Livermore, CA (United States)
- Helmholtz-Zentrum Dresden-Rossendorf, Saxony (Germany)
- Elder Research, Inc., Charlottesville, VA (United States)
The long-standing problem of predicting the electronic structure of matter on ultra-large scales (beyond 100,000 atoms) is solved with machine learning.
- Research Organization:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA)
- DOE Contract Number:
- NA0003525
- OSTI ID:
- 1895024
- Report Number(s):
- SAND2022-14839R; 711389; TRN: US2309370
- Country of Publication:
- United States
- Language:
- English
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