Advanced simulations from DFT to machine learning for solid-state hydrogen storage: fundamentals, progresses, challenges and perspectives

Progress in Materials Science 2026

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Authors: Shuling Chen, Mei Yang, Shaoyang Shen, Liuzhang Ouyang

DOI: 10.1016/j.pmatsci.2025.101653

Cited by: 18

References: 287

Fields of Study & Subjects

Hydrogen Storage and Materials Machine Learning in Materials Science Electrocatalysts for Energy Conversion

References 287