Machine Learning Optimal Flux-Limiters for Hydrodynamic Calculations [Slides]
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
Machine-learned slope limiters adopt strange forms but work well. These slope-limiters performed as well as commonly used limiters for the range of test cases shown. The computational cost of evaluating a B-Spline limiter tractable.
- Research Organization:
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- Sponsoring Organization:
- USDOE Laboratory Directed Research and Development (LDRD) Program; USDOE National Nuclear Security Administration (NNSA)
- DOE Contract Number:
- 89233218CNA000001
- OSTI ID:
- 2005773
- Report Number(s):
- LA-UR--23-30789
- Country of Publication:
- United States
- Language:
- English
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