Literature DB >> 16900490

An algorithm for three-dimensional Voronoi S-network.

N N Medvedev1, V P Voloshin, V A Luchnikov, M L Gavrilova.   

Abstract

The paper presents an algorithm for calculating the three-dimensional Voronoi-Delaunay tessellation for an ensemble of spheres of different radii (additively-weighted Voronoi diagram). Data structure and output of the algorithm is oriented toward the exploration of the voids between the spheres. The main geometric construct that we develop is the Voronoi S-network (the network of vertices and edges of the Voronoi regions determined in relation to the surfaces of the spheres). General scheme of the algorithm and the key points of its realization are discussed. The principle of the algorithm is that for each determined site of the network we find its neighbor sites. Thus, starting from a known site of the network, we sequentially find the whole network. The starting site of the network is easily determined based on certain considerations. Geometric properties of ensembles of spheres of different radii are discussed, the conditions of applicability and limitations of the algorithm are indicated. The algorithm is capable of working with a wide variety of physical models, which may be represented as sets of spheres, including computer models of complex molecular systems. Emphasis was placed on the issue of increasing the efficiency of algorithm to work with large models (tens of thousands of atoms). It was demonstrated that the experimental CPU time increases linearly with the number of atoms in the system, O(n). (c) 2006 Wiley Periodicals, Inc. J Comput Chem, 2006.

Mesh:

Year:  2006        PMID: 16900490     DOI: 10.1002/jcc.20484

Source DB:  PubMed          Journal:  J Comput Chem        ISSN: 0192-8651            Impact factor:   3.376


  2 in total

1.  CAVD, towards better characterization of void space for ionic transport analysis.

Authors:  Bing He; Anjiang Ye; Shuting Chi; Penghui Mi; Yunbing Ran; Liwen Zhang; Xinxin Zou; Bowei Pu; Qian Zhao; Zheyi Zou; Da Wang; Wenqing Zhang; Jingtai Zhao; Maxim Avdeev; Siqi Shi
Journal:  Sci Data       Date:  2020-05-22       Impact factor: 6.444

2.  Nanostructure domains, voids, and low-frequency spectra in binary mixtures of N,N-dimethylacetamide and ionic liquids with varying cationic size.

Authors:  Th Dhileep N Reddy; Bhabani S Mallik
Journal:  RSC Adv       Date:  2020-01-08       Impact factor: 4.036

  2 in total

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