Identification of promising chemical systems for the synthesis of new materials structure types: An ab initio minimization data mining approach

被引:15
作者
Zagorac, Dejan [1 ]
Schoen, Johann Christian [1 ]
Jansen, Martin [1 ]
机构
[1] Max Planck Inst Solid State Res, Heisenbergstr 1, D-70569 Stuttgart, Germany
关键词
ab initio; data mining; binary compounds; 5-5 structure type; CRYSTAL-STRUCTURE PREDICTION; ZNO; STABILITY; ALGORITHM;
D O I
10.2298/PAC1301037Z
中图分类号
TQ174 [陶瓷工业]; TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
In this research we performed data exploring for binary compounds with elements from groups V, IV-VI, and III-VII, with the goal to identify chemical systems where the recently proposed "5-5" structure type might be experimentally accessible. Among others, TlF, SnO, SnS, SnSe, GeS, GeSe, PbO, PbS, ZnO and ZnS, were chosen for the study. For each of these systems, a local optimization on ab initio level with the LDA functional was performed for the 5-5 structure type, plus other experimentally observed and theoretically proposed structure types, for comparison. Afterwards, the results were combined with earlier theoretical work involving the 5-5 structure in the earth alkaline metal oxides and the alkali metal halides. As a result, we suggest the GeSe and the ZnO systems as the most suitable ones for synthesizing the 5-5 structure type.
引用
收藏
页码:37 / 41
页数:5
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