output
20072026
most citedObservation of Fermi-surface-dependent nodeless superconducting gaps in Ba0.6K0.4Fe2As2

950 citations

287 papers

cond-mat.mtrl-sci2026

From Materials Database to Materials Bank: Assetizing Data for AI Driven Materials Innovation

Chenyao Ma, Di Zhang, Weibo Gong +9

Driven by high-throughput experimentation, computational modeling, and artificial intelligence (AI), materials data has expanded at an unprecedented rate. Conventional materials da…

cond-mat.mtrl-sci2026★ 1 cited

Giant orbital magnetoresistance in the antiferromagnet CoO driven by dynamic orbital angular momentum interaction

Christin Schmitt, Sachin Krishnia, Edgar Galindez-Ruales +12

Recent predictions of orders of magnitude larger orbital current effects compared to spin currents have attracted significant interest. However, the full potential of giant orbital…

cond-mat.mtrl-sci2026

Microscopic Origin of Piezomagnetism in MnSn: A Dual Real- and -Space Picture

Soichiro Kikuchi, Yuki Yanagi, Thi Ngoc Huyen Vu +1

We present a comprehensive first-principles study on the origin of the piezomagnetic effect in the non-collinear antiferromagnet MnSn, a material known for exhibiting a large a…

cond-mat.mtrl-sci2025★ 19 cited

Physically Interpretable Descriptors Drive the Materials Design of Metal Hydrides for Hydrogen Storage

Seong-Hoon Jang, Di Zhang, Hung Ba Tran +5

Designing metal hydrides for hydrogen storage remains a longstanding challenge due to the vast compositional space and complex structure-property relationships. Herein, for the fir…

cond-mat.supr-con2025★ 1 cited

Systematic evolution of superconducting pairing strength and Seebeck coefficients in correlated infinite-layer LaSrNiO

Motoki Osada, Shusaku Imajo, Yuji Seki +6

The recently discovered superconducting infinite-layer nickelates offer a novel platform to explore an exotic pairing mechanism in multi-band systems towards high-temperature super…

cs.AI2025★ 29 cited

"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…