01Photovoltaics
Designing antiperovskite semiconductors for efficient light absorption and charge transport.
Tang Materials
Modeling Group
Understanding and designing functional materials through computation and machine learning.
Beijing Institute of Technology
Research
From atomic interactions to material functionality.
01
02Ferroelectrics and Piezoelectrics
Understanding polarization and electromechanical responses in nitride semiconductors.
03Machine Learning
Connecting material structure and properties with interpretable models and machine learning potentials.
Selected publications
A closer look at our work.
Software & data
Open tools for materials research.
MLRAP
A machine learning workflow for structure–property relationships.
Explore MLRAPDieDatabase
Predicted dielectric properties for 4,341 compounds.
Explore DieDatabaseNepTrainKit
Visualize and curate training datasets for neuroevolution potentials.
Explore NepTrainKitOur people
A shared curiosity about the physics of materials.
Discover what comes next.
Explore new materials. Develop new ideas. Join our group.