most citedDigital Hydrogen Platform (DigHyd): A Rigorously Curated Database for Hydrogen Storage Materials Empowered by AI-Assisted Literature Mining

2 citations · 2 across the 2 of their papers we have counts for

collaborators

5 papers

physics.chem-ph2026

Empowering Polymeric Materials Discovery by Artificial Intelligence

Chenyao Ma, Linda Zhang, Yuheng Chen +29

Polymeric materials underpin modern technologies spanning energy storage, microelectronics, healthcare and sustainable manufacturing. Yet their rational design remains exceptionall…

cond-mat.mtrl-sci2026

Building a physics-aware AI ecosystem for solid-state hydrogen storage materials

Seong-Hoon Jang, Yiwen Yao, Chuanyu Liu +66

Hydrogen storage remains a central bottleneck for scalable hydrogen energy systems due to the multiscale and coupled nature of the thermodynamics, kinetics, and microstructural evo…

cond-mat.mtrl-sci2026

A unified descriptor framework for hydrogen storage capacity and equilibrium pressure in interstitial hydrides

Seong-Hoon Jang, Di Zhang, Xue Jia +9

Hydrogen is a promising energy carrier, yet its practical deployment is limited by the lack of storage materials that simultaneously achieve high storage capacity () and practic…

cond-mat.mtrl-sci20262 cited

Digital Hydrogen Platform (DigHyd): A Rigorously Curated Database for Hydrogen Storage Materials Empowered by AI-Assisted Literature Mining

Seong-Hoon Jang, Di Zhang, Xue Jia +8

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 availabil…

cs.AI2025

"DIVE" into Hydrogen Storage Materials Discovery with AI Agents

Di Zhang, Xue Jia, Tran Ba Hung +8

Data-driven artificial intelligence (AI) approaches are fundamentally transforming the discovery of new materials. Despite the unprecedented availability of materials data in the s…