4.1 Article

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

期刊

PROCESSING AND APPLICATION OF CERAMICS
卷 7, 期 1, 页码 37-41

出版社

UNIV NOVI SAD, FAC TECHNOLOGY
DOI: 10.2298/PAC1301037Z

关键词

ab initio; data mining; binary compounds; 5-5 structure type

向作者/读者索取更多资源

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.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.1
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据