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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Auteurs principaux:	M. R. Oktavian, J. Nistor, J. T. Gruenwald, Y. Xu
Format:	Artigo
Langue:	Inglês
Publié:	Nature Portfolio 2024-03-01
Collection:	Scientific Reports
Sujets:	Nuclear reactor Neural network Neutron diffusion
Accès en ligne:	https://doi.org/10.1038/s41598-024-56388-5
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