用聚类分析搜索晶体结构中的密集平面网

IF 1.4 4区 化学 Q4 CHEMISTRY, INORGANIC & NUCLEAR
S. V. Rashchenko
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引用次数: 0

摘要

晶体结构中密集平面原子网的概念通常用于描述和比较晶体化学以及多型研究。为了使这种网络的搜索自动化,自20世纪80年代以来,基于单位细胞中原子位置的傅立叶分析的算法得到了发展。然而,这些方法有一些局限性。作为傅里叶方法的替代和补充,我们提出了直接空间中的聚类分析算法,并考虑在一个开源Python库的net模块中实现它。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Search of Dense Plain Nets in Crystal Structures by Cluster Analysis

Search of Dense Plain Nets in Crystal Structures by Cluster Analysis

The concept of dense plain atomic nets in crystal structures is commonly used in descriptive and comparative crystal chemistry and in polytype studies. To automatize the search of such nets, algorithms based on the Fourier analysis of atomic positions in unit cells have been developed since 1980s. However, these approaches have a number of limitations. As an alternative and addition to Fourier approaches, we propose a cluster analysis algorithm in the direct space and consider its implementation in the nets module of a the crystchemlib open-source Python library.

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来源期刊
Journal of Structural Chemistry
Journal of Structural Chemistry 化学-无机化学与核化学
CiteScore
1.60
自引率
12.50%
发文量
142
审稿时长
8.3 months
期刊介绍: Journal is an interdisciplinary publication covering all aspects of structural chemistry, including the theory of molecular structure and chemical bond; the use of physical methods to study the electronic and spatial structure of chemical species; structural features of liquids, solutions, surfaces, supramolecular systems, nano- and solid materials; and the crystal structure of solids.
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