Weibo Hua, Jinniu Chen, Dario Ferreira Sanchez, Björn Schwarz, Yang Yang, Anatoliy Senyshyn, Zhenguo Wu, Chong-Heng Shen, Michael Knapp, Helmut Ehrenberg, Sylvio Indris, Xiaodong Guo, Xiaoping Ouyang
Understanding how reaction heterogeneity impacts cathode materials during Li-ion battery (LIB) electrochemical cycling is pivotal for unraveling their electrochemical performance. Yet, experimentally verifying these reactions has proven to be a challenge. To address this, we employed scanning μ-XRD computed tomography to scrutinize Ni-rich layered LiNi0.6Co0.2Mn0.2O2 (NCM622) and Li-rich layered Li[Li0.2Ni0.2Mn0.6]O2 (LLNMO). By harnessing machine learning (ML) techniques, we scrutinized an extensive dataset of μ-XRD patterns, about 100,000 patterns per slice, to unveil the spatial distribution of crystalline structure and microstrain...
May 3, 2024: Angewandte Chemie