Characterizing Approximation Methods for Digital Twins in Scientific Computing.

Conference · Wed Sep 01 00:00:00 EDT 2021

DOI:https://doi.org/10.2172/1889008· OSTI ID:1889008

Morrow, Zachary; van Bloemen Waanders, Bart; Jakeman, John

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