Graph theory and graph neural network assisted high-throughput crystal structure prediction and screening for energy conversion and storage

Abstract

Prediction of crystal structures with desirable material properties is a grand challenge in materials research. We deployed graph theory assisted structure searcher and combined with universal machine learning potentials to accelerate the process.