Characterizing Approximation Methods for Digital Twins in Scientific Computing.
Abstract not provided.
- Research Organization:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
- DOE Contract Number:
- NA0003525
- OSTI ID:
- 1889008
- Report Number(s):
- SAND2021-11876C; 699990
- Resource Relation:
- Conference: Proposed for presentation at the Mechanistic Machine Learning and Digital Twins for Computational Science, Engineering & Technology held September 26-29, 2021 in San Diego, CA.
- Country of Publication:
- United States
- Language:
- English
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