Machine-learning-assisted structure search for functional materials

Project Details


This project will apply and develop machine learning methods to discover the atomic structures of molecules, metal clusters, and perovskite by computational simulations. This information will help people to design new functional materials such as better bio-sensors and solar batteries.
Effective start/end date10/02/202109/02/2023

Collaborative partners


Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.