activity
20182026
most citedRealization of continuously electron doping in bulk iron selenides and identification of a new superconducting zone

15 citations · 18 across the 8 of their papers we have counts for

collaborators

10 papers

cs.CE2026

PhaseMatcher: Autoregressive Phase-Set Identification with Spectral Decomposition

Zhonglong Peng, Qiuliang Liu, Chang Chen +5

Recovering complete phase sets from powder X-ray diffraction (PXRD) is challenging when weak-phase peaks overlap stronger signals. A natural strategy is to identify phases iterativ…

cs.CE2026

AnchorPose for Geometry-Aware MOF Assembly through Meso-Grained Pose Generation

Zhonglong Peng, Rui Jiao, Chang Chen +3

Predicting metal-organic framework (MOF) structures from given building blocks requires recovering their positions and orientations in a periodic crystal. The spatial effects of ro…

cs.LG2026

Agentic Fusion of Large Atomic and Language Models to Accelerate Superconductor Discovery

Mingze Li, Yu Rong, Songyou Li +16

Artificial intelligence has accelerated materials discovery through high-throughput prediction and generation, yet the decision problem remains a formidable bottleneck. While curre…

cond-mat.mtrl-sci2026

Experimental Powder X-ray Diffraction Crystal Structure Determination with RealPXRD-Solver

Qi Li, Mingyu Guo, Rui Jiao +14

Determining crystal structures from experimental powder X-ray diffraction data remains challenging because peak overlap, preferred orientation, and impurity phases obscure atomic a…

cond-mat.supr-con2026★ 1 cited

Superconductivity of 30.4 K and its Reemergence under Pressure in Fe1.11Se Synthesized via Ion-exchange and De-intercalation Reaction

Mingzhang Yang, Yuxin Ma, Qi Li +11

Binary stoichiometry FeSe (s-FeSe) is a well-known parent of high-temperature unconventional superconductors owing to its charge-neutral layer, highly tunable structure and electro…

cs.LG2026

DMFlow: Disordered Materials Generation by Flow Matching

Liming Wu, Rui Jiao, Qi Li +4

The design of materials with tailored properties is crucial for technological progress. However, most deep generative models focus exclusively on perfectly ordered crystals, neglec…

cond-mat.mtrl-sci2025★ 1 cited

XDXD: End-to-end crystal structure determination with low resolution X-ray diffraction

Jiale Zhao, Cong Liu, Yuxuan Zhang +4

Determining crystal structures from X-ray diffraction data is fundamental across diverse scientific fields, yet remains a significant challenge when data is limited to low resoluti…

cond-mat.mtrl-sci2024★ 1 cited

Powder Diffraction Crystal Structure Determination Using Generative Models

Qi Li, Rui Jiao, Liming Wu +6

Accurate crystal structure determination is critical across all scientific disciplines involving crystalline materials. However, solving and refining inorganic crystal structures f…

cond-mat.supr-con2024

Weakly Coupled Type-II Superconductivity in a Laves compound ZrRe2

Yingpeng Yu, Zhaolong Liu, Qi Li +11

We present a comprehensive investigation of the superconducting properties of ZrRe2, a Re-based hexagonal Laves compounds. ZrRe2 crystallizes in a C14-type structure (space group P…

cond-mat.supr-con2018★ 15 cited

Realization of continuously electron doping in bulk iron selenides and identification of a new superconducting zone

R. J. Sun, Y. Quan, S. F. Jin +6

It is known that iron selenide superconductors exhibit unique characteristics distinct from iron pnicitides, especially in the electron-doped region. However, acomprehensive study…