Skip to main content
U.S. Department of Energy
Office of Scientific and Technical Information

Machine Learning Surrogates for the Fuel Matrix Degradation Model.

Conference ·
OSTI ID:1869760
Abstract not provided.
Research Organization:
Sandia National Laboratories (SNL-CA), Livermore, CA (United States); Sandia National Laboratories, Albuquerque, NM
Sponsoring Organization:
USDOE Office of Nuclear Energy (NE), Fuel Cycle Technologies (NE-5)
DOE Contract Number:
NA0003525
OSTI ID:
1869760
Report Number(s):
SAND2021-6132PE; 696342
Country of Publication:
United States
Language:
English

Similar Records

Machine learning surrogates of high-fidelity electrical models.
Conference · Sun Aug 01 00:00:00 EDT 2021 · OSTI ID:1882298

Automated machine learning for E3SM Atmosphere surrogate modeling.
Conference · Wed Jun 01 00:00:00 EDT 2022 · OSTI ID:2003548

Integration of the Fuel Matrix Degradation Model (embedded) .
Conference · Fri Oct 01 00:00:00 EDT 2021 · OSTI ID:1895257

Related Subjects