Role of compositionally complex and high entropy alloys for hydrogen storage: A bibliometric and mechanistic assessment

B. S. Ramatsoma, M. E. Makhatha, D. E.P. Klenam, M. O. Bodunrin

Research output: Contribution to journalReview articlepeer-review

Abstract

Compositionally complex and high entropy alloys have emerged as promising candidates for hydrogen storage in the transition towards sustainable energy systems. This study provides a comprehensive bibliometric and systematic review of HEA-based hydrogen storage, analysing 214 publications from the Scopus database (2010–2024). Using VOSviewer, the analysis identifies key research trends, influential authors, and collaborative networks while pinpointing research gaps. Results highlight the dominance of BCC and Laves phase HEAs due to their superior hydrogen storage capacities, structural stability, and tunable thermodynamic properties. Mechanistic insights reveal that high configurational entropy, severe lattice distortions, and sluggish diffusion significantly impact hydrogen absorption/desorption kinetics. Computational modeling and machine learning are identified as crucial for accelerating alloy design and optimization. Challenges remain, including slow kinetics, limited cycling stability, and activation requirements. Overcoming these challenges necessitates interdisciplinary research, focusing on optimizing storage capacity and kinetics, investigating microstructural influences, and expanding datasets for improved machine learning predictions. This study integrates bibliometric and mechanistic insights, providing a valuable resource for researchers and practitioners. By addressing these challenges and fostering global collaboration, HEAs can pave the way for the widespread adoption of hydrogen energy and contribute significantly to sustainable energy innovations.

Original languageEnglish
Article number115903
JournalRenewable and Sustainable Energy Reviews
Volume222
DOIs
Publication statusPublished - Oct 2025

Keywords

  • High entropy alloys
  • Hydrogen storage
  • Hydrogen storage capacity
  • Metal hydrides: machine learning
  • Solid state hydrogen storage

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment

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