G. Oise

Machine Learning‐Guided Design of Next‐Generation Battery Materials for Sustainable Energy Storage Systems

This study presents a machine learning‐driven framework for predicting material stability and sustainability to accelerate the discovery of environmentally friendly battery materials. Using data retrieved from the Materials Project, key material descriptors were extracted and used to train predictive models, includ...