Gaussian Process Surrogate Model with Uncertainty Quantification for PWR Pin-Cell Criticality Prediction
Surrogate models for nuclear reactor calculations typically provide point predictions without quantifying uncertainty, limiting their use in risk-informed applications. While several studies have applied machine learning to reactor physics, systematic evaluation of prediction interval calibration ag...
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| Principais autores: | , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
MDPI AG
2026-05-01
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| Serier: | Applied Sciences |
| Fag: | |
| Online adgang: | https://www.mdpi.com/2076-3417/16/11/5174 |
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