Broad Range Material-to-System Screening of Metal-Organic Frameworks for Hydrogen Storage Using Machine Learning

Hydrogen is pivotal in the transition to sustainable energy systems, serving essential roles in both power generation and industrial applications. Metal-organic frameworks have emerged as promising candidates for efficient hydrogen storage. However, identifying promising candidates for deployment is challenging due to the vast number of synthesized MOFs. This study integrates... Show more