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PyMolDyn:凝聚态物质和分子中腔/空位的识别、结构和性质。

pyMolDyn: Identification, structure, and properties of cavities/vacancies in condensed matter and molecules.

机构信息

PGI/JCNS-TA, Forschungszentrum Jülich, D-52425, Jülich, Germany.

Peter Grünberg Institut PGI-1, Forschungszentrum Jülich, D-52425, Jülich, Germany.

出版信息

J Comput Chem. 2017 Mar 5;38(6):389-394. doi: 10.1002/jcc.24697.

Abstract

pyMolDyn is an interactive viewer of atomic systems defined in a unit cell and is particularly useful for crystalline and amorphous materials. It identifies and visualizes cavities (vacancies, voids) in simulation cells corresponding to all seven 3D Bravais lattices, makes no assumptions about cavity shapes, allows for atoms of different size, and locates the cavity centers (the centers of the largest spheres not including an atom center). We define three types of cavity and develop a method based on the split and merge algorithm to calculate all three. The visualization of the cavities uses the marching cubes algorithm. The program allows one to calculate and export pair distribution functions (between atoms and/or cavities), as well as bonding and dihedral angles, cavity volumes and surface areas, and measures of cavity shapes, including asphericity, acylindricity, and relative shape anisotropy. The open source Python program is based on GR framework and GR3 routines and can be used to generate high resolution graphics and videos. © 2016 Wiley Periodicals, Inc.

摘要

PyMolDyn 是一个用于定义晶胞中原子系统的交互式查看器,特别适用于结晶和非晶材料。它可以识别和可视化模拟单元中的空腔(空位、空隙),对应于所有七种 3D 布拉维晶格,不假设空腔形状,允许不同大小的原子,并定位空腔中心(不包括原子中心的最大球体的中心)。我们定义了三种类型的空腔,并开发了一种基于分裂和合并算法的方法来计算这三种空腔。空腔的可视化使用了 Marching Cubes 算法。该程序允许计算和导出原子间和/或空腔间的配分函数,以及键合和二面角、空腔体积和表面积,以及空腔形状的度量,包括非球度、非圆柱度和相对形状各向异性。这个开源的 Python 程序基于 GR 框架和 GR3 例程,可以用于生成高分辨率图形和视频。© 2016 威利期刊公司

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