output
19992026
most citedObservation of a charged charmoniumlike structure in e+e- to pi+pi-J/psi at \sqrt{s}=4.26 GeV

919 citations

Showing cond-mat.mtrl-sciShow all

42 papers · 1 filter

cond-mat.mtrl-sci2026

Weyl points enabling significant enhancement of thermoelectric performance in an antiferromagnetic van der Waals metal GdTe3

Zhigang Gui, Panshuo Wang, Wenxiang Wang +8

Magneto-thermoelectric (MTE) effect has demonstrated significant ad-vantages in achieving optimal thermoelectric (TE) properties compared to conventional methods. Topological mater…

cond-mat.mtrl-sci2026★ 11 cited

Anti-Thermal Quenching Phosphors based on Metal Halides

Baowei Zhang, Liberato Manna

Thermal quenching (TQ) generally occurs in phosphors and is ascribed to the activation of non-radiative transitions at elevated temperatures. This effect limits the use of most pho…

cond-mat.mtrl-sci2025★ 164 cited

Near-Infrared Light Emitting Metal Halides: Materials, Mechanisms, and Applications

Ying Liu, Francesco Di Stasio, Chenghao Bi +4

Near-Infrared (NIR) light emitting metal halides are emerging as a new generation of optical materials owing to their appealing features, which include low-cost synthesis, solution…

cond-mat.mtrl-sci2025★ 101 cited

Light-Emitting Diodes based on Metal Halide Perovskite and Perovskite Related Nanocrystals

Ying Liu, Zhuangzhuang Ma, Jibin Zhang +5

Light-emitting diodes (LEDs) based on halide perovskite nanocrystals have attracted extensive attention due to their considerable luminescence efficiency, wide color gamut, high co…

cond-mat.mtrl-sci2025

Learning Thermoelectric Transport from Crystal Structures via Multiscale Graph Neural Network

Yuxuan Zeng, Wei Cao, Yijing Zuo +7

Graph neural networks (GNNs) are designed to extract latent patterns from graph-structured data, making them particularly well suited for crystal representation learning. Here, we…

cond-mat.mtrl-sci2024★ 2 cited

Accelerating the Discovery of Materials with Expected Thermal Conductivity via a Synergistic Strategy of DFT and Interpretable Deep Learning

Yuxuan Zeng, Wei Cao, Yijing Zuo +5

Lattice thermal conductivity (LTC) is a critical parameter for thermal transport properties, playing a pivotal role in advancing thermoelectric materials and thermal management tec…