Back to Search Start Over

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

Authors :
Da Wang
Siqi Shi
Ziheng Lu
Xia Lu
Yunbing Ran
Bowei Pu
Yajie Li
Wei Shi
Bing He
Zheyi Zou
Bo Liu
Penghui Mi
Baihai Li
He, B [0000-0002-6796-941X]
Li, B [0000-0002-9266-1791]
Shi, S [0000-0001-8988-9763]
Apollo - University of Cambridge Repository
He, Bing [0000-0002-6796-941X]
Li, Baihai [0000-0002-9266-1791]
Shi, Siqi [0000-0001-8988-9763]
Source :
npj Computational Materials, Vol 7, Iss 1, Pp 1-11 (2021)
Publication Year :
2021
Publisher :
Springer Science and Business Media LLC, 2021.

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 Li3xLa2/3−xTiO3 (0 < x < 0.167), which explains the observed Li-ion diffusion anisotropy. These findings provide important insight towards understanding the rechargeable battery chemistry.

Details

Database :
OpenAIRE
Journal :
npj Computational Materials, Vol 7, Iss 1, Pp 1-11 (2021)
Accession number :
edsair.doi.dedup.....e23b0e267b5e65da0f7cd536cc5b8bcc