Seong‐Hoon Jang

Digital hydrogen platform (DigHyd): a rigorously curated database for hydrogen storage materials empowered by AI-assisted literature mining

Solid-state hydrogen storage materials are promising candidates for safe and compact hydrogen storage; however, data-driven discovery in this field remains limited by the availability of large-scale, well-curated datasets. Here, we present the Digital Hydrogen Platform (DigHyd: w...

Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery

ABSTRACT Artificial intelligence (AI) is transforming materials discovery, yet conventional data‐driven approaches often suffer from limited interpretability, poor extrapolation, and inconsistency with physical laws. Since materials behavior is fundamentally governed by thermodyn...

Building a Physics-Aware AI Ecosystem for Solid-State Hydrogen Storage Materials

Abstract Hydrogen storage remains a central bottleneck for scalable hydrogen energy systems due to the multiscale and coupled nature of the thermodynamics, kinetics, and microstructural evolution of hydrogen storage materials (HSMs). Although artificial intelligence (AI) has acce...