Researchers developed a holistic approach, which predicts both Li-ion storage and supercapacitive properties and hence identifies various important electrode materials that are common to both devices, may pave the way for next-generation energy storage systems. By leveraging the big-data generated by the computational pipeline, the team trains crystal graph-based machine learning models and demonstrates how this data-driven model could be helpful for the rapid discovery of potential ...
