most citedA Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials

1 citations · 1 across the 3 of their papers we have counts for

collaborators

6 papers

quant-ph2025

Roadmap: 2D Materials for Quantum Technologies

Qimin Yan, Tongcang Li, Xingyu Gao +29

Two-dimensional (2D) materials have emerged as a versatile and powerful platform for quantum technologies, offering atomic-scale control, strong quantum confinement, and seamless i…

cond-mat.mes-hall2025

Ideal Topological Flat Bands in Two-dimensional Moiré Heterostructures with Type-II Band Alignment

Yunzhe Liu, Anoj Aryal, Kaijie Yang +6

Topological flat bands play an essential role in inducing exotic interacting physics, ranging from fractional Chern insulators to superconductivity, in moiré materials. In this wor…

quant-ph2025

Coherent Spins in van der Waals Semiconductor GeS2 at Ambient Conditions

Sumukh Vaidya, Xingyu Gao, Saakshi Dikshit +5

Optically active spin defects in van der Waals (vdW) materials have recently emerged as versatile quantum sensors, enabling applications from nanoscale magnetic field detection to…

cond-mat.mtrl-sci20251 cited

A Machine Learning Framework for Modeling Ensemble Properties of Atomically Disordered Materials

Zhenyao Fang, Ting-Wei Hsu, Qimin Yan

Disorder, though naturally present in experimental samples and strongly influencing a wide range of material phenomena, remains underexplored in first-principles studies due to the…

cond-mat.mtrl-sci2025

Accurate Prediction of Tensorial Spectra Using Equivariant Graph Neural Network

Ting-Wei Hsu, Zhenyao Fang, Arun Bansil +1

Optical spectroscopies provide a powerful tool for harnessing light-matter interactions for unraveling complex electronic features such as the flat bands and nontrivial topologies…

cond-mat.mtrl-sci2025

Database of Tensorial Optical and Transport Properties of Materials From the Wannier Function Method

Zhenyao Fang, Ting-Wei Hsu, Qimin Yan

The discovery and design of functional materials for energy harvesting and electronic applications require accurate predictions of their optical and transport properties. While sev…