Song Zhen, Zhou Dandan, Liu Quanlin
Beijing Key Laboratory for New Energy Materials and Technologies, School of Materials Science and Engineering, University of Science and Technology Beijing, Beijing 100083, People's Republic of China.
Acta Crystallogr C Struct Chem. 2019 Oct 1;75(Pt 10):1353-1358. doi: 10.1107/S2053229619011975. Epub 2019 Sep 6.
We introduce a structural descriptor, the tolerance factor, for the prediction and systematic description of the phase stability with the garnet structure. Like the tolerance factor widely adopted for the perovskite structure, it is a compositional parameter derived from the geometrical relationship between multi-type polyhedra in the garnet structure, and the calculation only needs the information of the ionic radius. A survey of the tolerance factor over 130 garnet-type compounds reveals that the data points are scattered in a narrow range. The tolerance factor is helpful in understanding the crystal chemistry of some garnet-type compounds and could serve as a guide for predicting the stability of the garnet phase. The correlation between the tolerance factor and the garnet-phase stability could be utilized by machine learning or high-throughput screening methods in material design and discovery.
我们引入了一个结构描述符——容差因子,用于预测和系统描述具有石榴石结构的相稳定性。与广泛用于钙钛矿结构的容差因子一样,它是一个基于石榴石结构中多类型多面体之间几何关系得出的成分参数,计算仅需离子半径信息。对130多种石榴石型化合物的容差因子调查表明,数据点分散在一个狭窄范围内。容差因子有助于理解某些石榴石型化合物的晶体化学,并可作为预测石榴石相稳定性的指南。在材料设计和发现中,机器学习或高通量筛选方法可利用容差因子与石榴石相稳定性之间的相关性。