Screening of the alkali-metal ion containing materials from the Inorganic Crystal Structure Database (ICSD) for high ionic conductivity pathways using the bond valence method

被引:132
作者
Avdeev, Max [1 ]
Sale, Matthew [1 ,2 ]
Adams, Stefan [3 ]
Rao, R. Prasada [3 ]
机构
[1] Australian Nucl Sci & Technol Org, Bragg Inst, Kirrawee Dc, NSW 2232, Australia
[2] Univ Wollongong, Wollongong, NSW 2522, Australia
[3] Natl Univ Singapore, Dept Mat Sci & Engn, Singapore 117574, Singapore
关键词
Bond valence method; Ionic conductivity; Ion migration paths; Modelling; LITHIUM DIFFUSION; BATTERY MATERIALS; CONDUCTORS; DIFFRACTION; CHALLENGES; DISORDER; NASICON; DESIGN; MODELS;
D O I
10.1016/j.ssi.2012.02.014
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
High ionic conductivity is one of the key characteristics of electrolytes and electrode materials directly affecting performance of electrochemical devices in which they are used. In the case of inorganic crystalline solid electrolytes and insertion cathodes the topology and geometry of crystal structure essentially defines ionic conductivity and charge-discharge rates. We employed the bond valence method to identify materials with crystal structures featuring infinite networks of pathways of suitable size that is a prerequisite for fast ion transport. Taking advantage of the method low computational cost, we carried out exhaustive analysis of similar to 13.000 entries of the Inorganic Crystal Structure Database and ranked the materials based on the fraction of crystal structure space with low bond-valence mismatch. The results may be used as a guide for further theoretical and experimental studies of promising compositions. Crown Copyright (C) 2012 Published by Elsevier ay. All rights reserved.
引用
收藏
页码:43 / 46
页数:4
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