Efficient Sampling Methods for Machine Learning Error Models with Application to Surrogates of Steady Hypersonic Flows.
Conference
·
OSTI ID:2001534
Abstract not provided.
- Research Organization:
- Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States); Sandia National Laboratories, Livermore, CA
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA)
- DOE Contract Number:
- NA0003525
- OSTI ID:
- 2001534
- Report Number(s):
- SAND2021-16130C; 702608
- Country of Publication:
- United States
- Language:
- English
Similar Records
Efficient Sampling Methods for Machine Learning Error Models with application to Surrogates of Steady Hypersonic Flows .
Efficient Sampling Methods for Machine Learning Error Models with application to Surrogates of Steady Hypersonic Flows.
Machine Learning Surrogate Process Models for Efficient Performance Assessment of a Nuclear Waste Repository.
Conference
·
Mon Nov 01 00:00:00 EDT 2021
·
OSTI ID:1900124
Efficient Sampling Methods for Machine Learning Error Models with application to Surrogates of Steady Hypersonic Flows.
Conference
·
Tue Nov 30 23:00:00 EST 2021
·
OSTI ID:1906439
Machine Learning Surrogate Process Models for Efficient Performance Assessment of a Nuclear Waste Repository.
Conference
·
Tue Nov 01 00:00:00 EDT 2022
·
OSTI ID:2006027