Integrating core physics and machine learning for improved parameter prediction in boiling water rea...
Integrating core physics and machine learning for improved parameter prediction in boiling water reactor operations
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Publisher
London: Nature Publishing Group UK
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Language
English
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Publisher
London: Nature Publishing Group UK
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Scope and Contents
Contents
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 derived from core physics computations. These corrections a...
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Full title
Integrating core physics and machine learning for improved parameter prediction in boiling water reactor operations
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TN_cdi_doaj_primary_oai_doaj_org_article_a678360415814a98ac9daa7809c101e5
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a678360415814a98ac9daa7809c101e5
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-024-56388-5
