Ensemble Tree-Based Machine Learning for Predicting Volumetric Change in Lithium-Based Battery Electrode Materials
Volumetric instability in lithium-based electrode materials remains a persistent challenge in electric vehicle battery development, as identifying stable material combinations through conventional laboratory methods is both time-consuming and resource-intensive. This study develops and compares three ensemble tree-base...