activity
20232026
most citedAI-driven materials design: a mini-review

8 citations · 14 across the 14 of their papers we have counts for

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Showing 2026Show all

5 papers · 1 filter

cond-mat.mtrl-sci2026

JANUS: A Multi-modal Foundation Neural Sampler for Disordered Materials

Denis Blessing, Mouyang Cheng, Maximilian Schebek +4

Disordered materials are central to modern technologies, from high-performance alloys to quantum devices, yet understanding and designing them requires exploring an enormous space…

cond-mat.mtrl-sci2026

ATLAS: A Foundation Neural Sampler for Amorphous Materials

Mouyang Cheng, Denis Blessing, Botao Yu +4

Amorphous materials exhibit exceptional mechanical and functional properties, yet their rugged energy landscapes are notoriously difficult to sample. Below the glass-transition tem…

cs.DL2026

Can LLMs extract scientific consensus? A case study in high-temperature superconductivity

Mouyang Cheng, Wenhao He, Zhuotao Jin +9

Scientific knowledge is increasingly dispersed across vast and heterogeneous scientific literature, where important claims are often implicit, evolving, and internally debated. Whi…

cond-mat.mtrl-sci2026

Probing Non-Equilibrium Grain Boundary Dynamics with XPCS and Domain-Adaptive Machine Learning

Mouyang Cheng, Bowen Yu, Chu-Liang Fu +14

Grain-boundary (GB) dynamics control the stability, mechanical, and functional response of nanocrystalline materials, but direct experimental access to their slow non-equilibrium m…

cond-mat.str-el2026

Frustrated Magnetism in FeGeO with a Chiral Trillium Network

Matt Boswell, Mingyu Xu, Haozhe Wang +7

The discovery of new magnetic ground states in geometrically frustrated lattices remains a central challenge in materials science. Here, we report the synthesis, structural charact…