Machine Learning Data-Driven Closure Models
Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States); Toryn Schafer; USDOE National Nuclear Security Administration (NNSA); Daniel Drennan; Wolfgang Brightenburg; Kyle Neal; Rileigh Bandy; Mohammad Khalil; Teresa Portone
- Published
- Publisher
- Office of Scientific and Technical Information (OSTI)
- Research area
- AI & compute
- Source type
- Report
- DOI
- 10.2172/3022178
The original publisher provides the full text and its access options.
Cite this source
Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States); Toryn Schafer; USDOE National Nuclear Security Administration (NNSA); Daniel Drennan; Wolfgang Brightenburg; Kyle Neal; Rileigh Bandy; Mohammad Khalil; Teresa Portone. Machine Learning Data-Driven Closure Models. Office of Scientific and Technical Information (OSTI). 2025-03-01. https://doi.org/10.2172/3022178