Surrogate Modeling For Efficiently, Accurately and Conservatively Estimating Measures of Risk.
Abstract not provided.
- Research Organization:
- Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21)
- DOE Contract Number:
- NA0003525
- OSTI ID:
- 1889571
- Report Number(s):
- SAND2021-11922C; 700200
- Country of Publication:
- United States
- Language:
- English
Similar Records
Surrogate modeling for efficiently, accurately and conservatively estimating measures of risk
Nonlinear Regression for Accurate and Efficient Surrogate Models of Materials.
Surrogate Modeling For Efficiently Accurately and Conservatively Estimating Measures of Risk
Journal Article
·
Fri Dec 31 19:00:00 EST 2021
· Reliability Engineering and System Safety
·
OSTI ID:1845389
Nonlinear Regression for Accurate and Efficient Surrogate Models of Materials.
Conference
·
Sun Feb 28 23:00:00 EST 2021
·
OSTI ID:1859842
Surrogate Modeling For Efficiently Accurately and Conservatively Estimating Measures of Risk
Technical Report
·
Sun Jul 11 00:00:00 EDT 2021
·
OSTI ID:1807455