Summary
My research employs synchrotron X-ray tomography and advanced image processing techniques, including convolutional neural networks, to investigate the intricate dynamics of battery performance. Specifically, we concentrate on the evolution of pore space at micro-resolution and cathode thickness at macro-resolution during the charging and discharging cycles of a battery. Our findings will illuminate the nuanced interplay between micro and macro phenomena within battery systems, providing valuable guidance for future advancements in battery design and performance optimization.