1 citations · 2 across the 3 of their papers we have counts for
4 papers
Symmetry- and Property-Aware Crystal Generation with Reinforcement Learning for Inverse Materials Design
Ting-Wei Hsu, Arun Bansil, Qimin Yan
The inverse design of crystalline materials ultimately seeks structures with desired physical properties. However, for many functional responses, a favorable numerical value is mea…
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…
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…
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…