A Machine Learning Approach to Predict the Materials' Susceptibility to Hydrogen Embrittlement

Hydrogen is widely considered a promising energy carrier capable of mitigating human environmental impact. Nevertheless, safety aspects represent one of the major bottlenecks for the widespread utilization of hydrogen technologies. Industrial equipment operating in hydrogen environments is prone to...

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Bibliographic Details
Main Authors: Alessandro Campari, Maryam Darabi, Antonio Alvaro, Federico Ustolin, Nicola Paltrinieri
Format: Article
Language:English
Published: AIDIC Servizi S.r.l. 2023-05-01
Series:Chemical Engineering Transactions
Online Access:https://www.cetjournal.it/index.php/cet/article/view/13111