Abstract:

Hydrogen energy, as a clean energy, has attracted much attention for its efficient storage and utilization technologies. In recent years, solid-state hydrogen storage materials have become a research hotspot due to their high safety and high hydrogen storage density. This paper systematically reviews the recent advances in hydrogen storage materials including various metal hydrides, focusing on the challenges of material design, performance optimization, and applications. In addition, it explores the potential role of machine learning in the industry chain of hydrogen storage materials. Finally, the future direction of low-cost and high-performance solid-state hydrogen storage materials is envisioned to facilitate the application of artificial intelligence (AI) technologies in the hydrogen energy industry and accelerate its commercialization.

Key words: solid-state hydrogen storage materials, AI screening algorithms, reinforcement learning, model prediction