Suppr超能文献

无机及有机-无机钙钛矿中阳离子空位的最大预测含量:容忍因子的作用。

The maximum predicted content of cation vacancies in inorganic and organic-inorganic perovskites: the role of the tolerance factor.

作者信息

Ji D H, Wang S L, Ge X Z, Zhang Q Q, Zhang C M, Zeng Z W, Bai Y

机构信息

Department of Physics and Electronic Science, Liupanshui Normal University, Guizhou Liupanshui 553004, China.

出版信息

Phys Chem Chem Phys. 2017 Jul 5;19(26):17121-17127. doi: 10.1039/c7cp01792h.

Abstract

The maximum content of cation vacancies in perovskites determines the maximum adjustment to the physical properties. By using the classical criterion of the tolerance factor, we put forward a new method to obtain the maximum content of cation vacancies in perovskites. The effective ionic radius was calculated using the weighted average method, and the limit of tolerance factors was used to determine the maximum value of the cation vacancies. The calculated results of the LaMnO and LaSrMnO materials coincide with experimental results. For application, (A)(A)X or (A)(A)X (X = O, F, Cl, Br, I) inorganic and hybrid organic-inorganic perovskite materials with vacancies at the A or B sites were predicted successfully, which provides a new method to improve the physical properties of perovskite materials.

摘要

钙钛矿中阳离子空位的最大含量决定了对物理性质的最大调节。通过使用容忍因子的经典标准,我们提出了一种获取钙钛矿中阳离子空位最大含量的新方法。采用加权平均法计算有效离子半径,并利用容忍因子的极限来确定阳离子空位的最大值。LaMnO和LaSrMnO材料的计算结果与实验结果相符。在应用方面,成功预测了A位或B位有空位的(A)(A)X或(A)(A)X(X = O、F、Cl、Br、I)无机及有机-无机杂化钙钛矿材料,这为改善钙钛矿材料的物理性质提供了一种新方法。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验