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Figure 1. Crystal descriptors for ML-driven development of lithium battery materials. Different descriptors, which digitally describe crystal structures, possess distinct strengths that help accelerate diverse ML tasks including property prediction, atomistic simulation, and crystal generation. The results from ML tasks can be used as new input structures and properties for further model training and prediction. ML: Machine-learning.