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

Abstract 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 theor...

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Autores principales: Yunbing Ran, Zheyi Zou, Bo Liu, Da Wang, Bowei Pu, Penghui Mi, Wei Shi, Yajie Li, Bing He, Ziheng Lu, Xia Lu, Baihai Li, Siqi Shi
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Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/6886e8d1efef4a2184bb638f5313eb3e
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spelling oai:doaj.org-article:6886e8d1efef4a2184bb638f5313eb3e2021-11-14T12:15:33ZTowards prediction of ordered phases in rechargeable battery chemistry via group–subgroup transformation10.1038/s41524-021-00653-y2057-3960https://doaj.org/article/6886e8d1efef4a2184bb638f5313eb3e2021-11-01T00:00:00Zhttps://doi.org/10.1038/s41524-021-00653-yhttps://doaj.org/toc/2057-3960Abstract 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 Li0. 75CoO2, Li0. 8333CoO2, and Li0.8571CoO2 phases and report a new Li0.875CoO2 ground state. Taking the advantage of Wyckoff-position splitting in reducing the number of configurations, we identify the stablest Li0.0625C6 dilute phase in Li-ion intercalated graphite. We also resolve the Li/La/vacancy ordering in Li3x La2/3−x TiO3 (0 < x < 0.167), which explains the observed Li-ion diffusion anisotropy. These findings provide important insight towards understanding the rechargeable battery chemistry.Yunbing RanZheyi ZouBo LiuDa WangBowei PuPenghui MiWei ShiYajie LiBing HeZiheng LuXia LuBaihai LiSiqi ShiNature PortfolioarticleMaterials of engineering and construction. Mechanics of materialsTA401-492Computer softwareQA76.75-76.765ENnpj Computational Materials, Vol 7, Iss 1, Pp 1-11 (2021)
institution DOAJ
collection DOAJ
language EN
topic Materials of engineering and construction. Mechanics of materials
TA401-492
Computer software
QA76.75-76.765
spellingShingle Materials of engineering and construction. Mechanics of materials
TA401-492
Computer software
QA76.75-76.765
Yunbing Ran
Zheyi Zou
Bo Liu
Da Wang
Bowei Pu
Penghui Mi
Wei Shi
Yajie Li
Bing He
Ziheng Lu
Xia Lu
Baihai Li
Siqi Shi
Towards prediction of ordered phases in rechargeable battery chemistry via group–subgroup transformation
description Abstract 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 Li0. 75CoO2, Li0. 8333CoO2, and Li0.8571CoO2 phases and report a new Li0.875CoO2 ground state. Taking the advantage of Wyckoff-position splitting in reducing the number of configurations, we identify the stablest Li0.0625C6 dilute phase in Li-ion intercalated graphite. We also resolve the Li/La/vacancy ordering in Li3x La2/3−x TiO3 (0 < x < 0.167), which explains the observed Li-ion diffusion anisotropy. These findings provide important insight towards understanding the rechargeable battery chemistry.
format article
author Yunbing Ran
Zheyi Zou
Bo Liu
Da Wang
Bowei Pu
Penghui Mi
Wei Shi
Yajie Li
Bing He
Ziheng Lu
Xia Lu
Baihai Li
Siqi Shi
author_facet Yunbing Ran
Zheyi Zou
Bo Liu
Da Wang
Bowei Pu
Penghui Mi
Wei Shi
Yajie Li
Bing He
Ziheng Lu
Xia Lu
Baihai Li
Siqi Shi
author_sort Yunbing Ran
title Towards prediction of ordered phases in rechargeable battery chemistry via group–subgroup transformation
title_short Towards prediction of ordered phases in rechargeable battery chemistry via group–subgroup transformation
title_full Towards prediction of ordered phases in rechargeable battery chemistry via group–subgroup transformation
title_fullStr Towards prediction of ordered phases in rechargeable battery chemistry via group–subgroup transformation
title_full_unstemmed Towards prediction of ordered phases in rechargeable battery chemistry via group–subgroup transformation
title_sort towards prediction of ordered phases in rechargeable battery chemistry via group–subgroup transformation
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/6886e8d1efef4a2184bb638f5313eb3e
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