Modeling the Impact of Hydrogen Embrittlement on the Fracture Toughness of Low-Carbon Steel Using a Machine Learning Approach

This study aims to advance the understanding of hydrogen embrittlement (HE) in low-carbon and low-alloy steels by developing a predictive framework for assessing fracture toughness (FT), a critical parameter for mitigating HE in hydrogen infrastructure. A machine learning (ML) model was constructed...

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Bibliographic Details
Main Authors: Michael Gyaabeng, Ramadan Ahmed, Nayem Ahmed, Catalin Teodoriu, Deepak Devegowda
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Metals
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Online Access:https://www.mdpi.com/2075-4701/15/6/588
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