Machine Learning-Driven Advances in Hydrogen Embrittlement of Steels: A Comprehensive Review
This paper systematically reviews and critically evaluates AI/ML applications for HE in steels through a structured analysis of all studies published between 2010 and 2026, and establishes a practical framework for selecting appropriate AI/ML approaches according to dataset characteristics and engineering objectives.