Leakage-Safe Machine Learning for Hydrogen Embrittlement Detection in 316L Stainless Steel: A Region-Held-Out Evaluation of Texture and Deep Features in SEM Micrographs

arXiv:2609.28567 · cs.LG, cond-mat.mtrl-sci · Submitted 2026-09-23 · Read on arXiv

cs.LG, cond-mat.mtrl-sci

Submitted: 2026-09-23

Updated: 2026-09-23

Code: https://github.com/cmsawais/leakage-safe-hydrogen-embrittlement-ml

Terminology

• Accuracy — 27× in this paper · explained in 1 episode
• Embeddings — 5× in this paper · explained in 2 episodes
• Interpretability — 4× in this paper · explained in 15 episodes
• F1 Score — 3× in this paper · explained in 3 episodes
• Benchmark — 2× in this paper · explained in 2 episodes
• Alignment — 1× in this paper · explained in 1 episode
• Decoupling — 1× in this paper · explained in 2 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Gray-Level Cooccurrence Matrix — 1× in this paper
• Homogeneity — 1× in this paper · explained in 2 episodes
• Phase Transitions — 1× in this paper · explained in 2 episodes
• Redundancy — 1× in this paper · explained in 2 episodes

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