WELCOME TO KANG GROUP

Electrochemical Energy Data Lab.

Kang Group aims to develope the design principle of renewable energy materials by using the first-principle data-driven modeling method to improve the performance and durability. We focus in particular on understanding and predicting physical and chemical properties of nano materials for electrochemical energy systems.

Open Positions

We are always looking for motivated undergraduate intern, M. S. and Ph. D. student. Most projects are a mixture of renewable energy systems, material science, density functional theory (DFT) simulation and machine learning.