Bayesian discovery of optimal reduced order models from mechanistic and experimental data: A case study of Pd penetration in TRISO fuels using BISON
Fields of Study & Subjects
Nuclear reactor physics and engineering
Model Reduction and Neural Networks
Nuclear Materials and Properties
Publication details
- Journal / source
- Computational Materials Science
- Publisher
- Elsevier BV
- Volume
- 264
- Pages
- 114503–114503
- Publication date
- 15 January 2026
- Language
- EN