On Entropy Measures of Some Titania and Carbon Nanotubes

IF 0.5 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Qingfang Ye, Fengwei Li
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引用次数: 0

Abstract

A nanotube is a nanometer–scale tube-like structure, it is a kind of nanoparticle, and may be large enough to serve as a pipe through which other nanoparticles can be channeled, or, depending on the material, may be used as an electrical conductor or an electrical insulator. For computing the structural information of nanotubes, the graph entropies have become the information theoretic quantities. The graph entropy measure has attracted the research community due to its potential application in discrete mathematics, biology, and chemistry. In this paper, our contribution is to explore graph entropies for structures of some nanotubes based on novel information function, which is the number of different degree vertices along with the number of edges between various degree vertices. More precisely, we computed entropies of some classes of nanotubes such as titania nanotube TNT[Formula: see text], TNT[Formula: see text] and carbon nanotubes HAC[Formula: see text] by making a relation of degree-based topological indices with the help of information function.
论某些二氧化钛和碳纳米管的熵值
纳米管是一种纳米级的管状结构,它是纳米粒子的一种,可以大到作为管道,通过它可以输送其他纳米粒子,或者根据材料的不同,可以用作电导体或电绝缘体。为计算纳米管的结构信息,图熵已成为信息理论量。图熵量因其在离散数学、生物学和化学中的潜在应用而备受研究界关注。在本文中,我们的贡献是基于新的信息函数(即不同度顶点的数量以及不同度顶点之间的边的数量)探索了一些纳米管结构的图熵。更确切地说,我们借助信息函数,通过建立基于度的拓扑指数关系,计算了一些纳米管类别的熵,如二氧化钛纳米管 TNT[式:见正文]、TNT[式:见正文]和碳纳米管 HAC[式:见正文]。
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来源期刊
Parallel Processing Letters
Parallel Processing Letters COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
0.90
自引率
25.00%
发文量
12
期刊介绍: Parallel Processing Letters (PPL) aims to rapidly disseminate results on a worldwide basis in the field of parallel processing in the form of short papers. It fills the need for an information vehicle which can convey recent achievements and further the exchange of scientific information in the field. This journal has a wide scope and topics covered included: - design and analysis of parallel and distributed algorithms - theory of parallel computation - parallel programming languages - parallel programming environments - parallel architectures and VLSI circuits
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