Towards prediction of ordered phases in rechargeable battery chemistry via group–subgroup transformation

NPJ COMPUTATIONAL MATERIALS(2021)

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摘要
The electrochemical thermodynamic and kinetic characteristics of rechargeable batteries are critically influenced by the ordering of mobile ions in electrodes or solid electrolytes. However, because of the experimental difficulty of capturing the lighter migration ion coupled with the theoretical limitation of searching for ordered phases in a constrained cell, predicting stable ordered phases involving cell transformations or at extremely dilute concentrations remains challenging. Here, a group-subgroup transformation method based on lattice transformation and Wyckoff-position splitting is employed to predict the ordered ground states. We reproduce the previously reported Li 0. 75 CoO 2 , Li 0. 8333 CoO 2 , and Li 0.8571 CoO 2 phases and report a new Li 0.875 CoO 2 ground state. Taking the advantage of Wyckoff-position splitting in reducing the number of configurations, we identify the stablest Li 0.0625 C 6 dilute phase in Li-ion intercalated graphite. We also resolve the Li/La/vacancy ordering in Li 3 x La 2/3− x TiO 3 (0 < x < 0.167), which explains the observed Li-ion diffusion anisotropy. These findings provide important insight towards understanding the rechargeable battery chemistry.
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关键词
Applied physics,Atomistic models,Materials Science,general,Characterization and Evaluation of Materials,Mathematical and Computational Engineering,Theoretical,Mathematical and Computational Physics,Computational Intelligence,Mathematical Modeling and Industrial Mathematics
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