Integrating core physics and machine learning for improved parameter prediction in boiling water reactor operations

Integrating core physics and machine learning for improved parameter prediction in boiling water reactor operations

Abstract This study introduces a novel method for enhancing Boiling Water Reactor (BWR) operation simulations by integrating machine learning (ML) models with conventional simulation techniques. The ML model is trained to identify and correct errors in low-fidelity simulation outputs, traditionally...

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Bibliographic Details
Main Authors: M. R. Oktavian, J. Nistor, J. T. Gruenwald, Y. Xu
Format: Article
Language:English
Published: Nature Portfolio 2024-03-01
Series:Scientific Reports
Subjects:
Nuclear reactor
Neural network
Neutron diffusion
Online Access:https://doi.org/10.1038/s41598-024-56388-5

Internet

https://doi.org/10.1038/s41598-024-56388-5

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