研究论文

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

Shuling Chen, Mei Yang, Shaoyang Shen, Liuzhang Ouyang

South China University of Technology　Guangzhou Institute of Advanced Technology

来源Progress in Materials Science

年份2026

DOI10.1016/j.pmatsci.2025.101653

原文https://doi.org/10.1016/j.pmatsci.2025.101653

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1726

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31.63

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学术脉络

学科主题

材料 / 化学

Hydrogen Storage and Materials

Machine Learning in Materials Science · Electrocatalysts for Energy Conversion

参考文献 287

Thermal simulations of a hydrogen storage tank during fast filling

Igor Simonovski, D. Baraldi, Daniele Melideo · International Journal of Hydrogen Energy · 2015

被引 81

Protium Absorption-Desorption Properties of Ti–V–Cr Alloys with a BCC Structure

Yukio Tominaga, Sinya Nishimura, Toshikazu Amemiya · Materials Transactions JIM · 1999

被引 68

High surface area and Z ′ in a thermally stable 8-fold polycatenated hydrogen-bonded framework

Cassandra A. Zentner, Holden W. H. Lai, Joshua T. Greenfield · Chemical Communications · 2015

被引 168

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Recent advances in high-capacity hydrogen storage materials of multi-system systems via multi-scale exploration: A review

Zhongyu Liu, Boning Zhang, Yue Zhang · Renewable and Sustainable Energy Reviews · 2026

被引 5

Oxygen-terminated Nb2C MXene as an efficient catalyst for LiBH4 dehydrogenation

Jinting CHEN, Yue Pan, Zeyu Zhang · Journal of Alloys and Compounds · 2026