A COMPARATIVE STUDY OF CONTRASTING MACHINE LEARNING FRAMEWORKS APPLIED TO RANS MODELING OF JETS IN CROSSFLOW.
Abstract not provided.
- Research Organization:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE National Nuclear Security Administration (NNSA)
- DOE Contract Number:
- AC04-94AL85000
- OSTI ID:
- 1456556
- Report Number(s):
- SAND2017-3882C; 652454
- Resource Relation:
- Conference: Proposed for presentation at the ASME Turbo Expo 2017.
- Country of Publication:
- United States
- Language:
- English
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