Comparative Analysis on Electrode Morphologies in Lithium-Ion Batteries

This research article explores the influence of electrode morphology on lithium-ion battery performance. It presents a novel computational workflow that incorporates realistic graphite morphologies, enhancing predictive accuracy over traditional models. The study demonstrates how greater morphological complexity leads to significant deviations from classical predictions, providing insights for optimizing battery design and performance. The developed code is made accessible for integration with t