Predictions and uncertainty estimates of reactor pressure vessel steel embrittlement using Machine learning

Predictions and uncertainty estimates of reactor pressure vessel steel embrittlement using Machine learning

An essential aspect of extending safe operation of the world’s active nuclear reactors is understanding and predicting the embrittlement that occurs in the steels that make up the Reactor pressure vessel (RPV). In this work we integrate state of the art machine learning methods using ensembles of ne...

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Bibliographic Details
Main Authors: Ryan Jacobs, Takuya Yamamoto, G. Robert Odette, Dane Morgan
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Materials & Design
Subjects:
Reactor pressure vessel
Embrittlement
Transition temperature shift
Machine learning
Neural network
Online Access:http://www.sciencedirect.com/science/article/pii/S0264127523009061

Internet

http://www.sciencedirect.com/science/article/pii/S0264127523009061

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