线性广义苯四边形网络的拉普拉斯谱及其应用

IF 2.4 3区 化学 Q2 CHEMISTRY, ORGANIC Polycyclic Aromatic Compounds Pub Date : 2024-09-13 DOI:10.1080/10406638.2023.2266170
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引用次数: 0

摘要

拓扑指数在化学图论领域备受关注。这些指数提供了精确表示分子图拓扑结构的定量指标,而分子图是用来建立化合物模型的。一般来说,它们的物理特性与这些化合物的几何结构密切相关。在本文中,我们介绍了一个表现出独特特征的苯四边形网络新家族。所研究的这些拓扑结构可以看作是亚苯基的广义化。为了分析广义苯四边形网络,我们提出了一种计算其基尔霍夫指数和生成树数的递归方法。这种方法基于特征多项式的系数和根之间的关系。
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Laplacian Spectrum of Linear Generalized Phenylene-Quadrilateral Networks and Its Applications
Topological indices have gained significant attention in the field of chemical graph theory. These indices offer quantitative measures that accurately represent the topology of molecular graphs, which are used to model chemical compounds. Generally, their physical properties are closely linked to the geometric structures of these compounds. In this paper, we introduce a new family of phenylene-quadrilateral networks that exhibit unique features. These studied topological structures can be seen as generalizations of the phenylenes. To analyze the generalized phenylene-quadrilateral networks, we propose a recursive method for calculating their Kirchhoff index and the number of spanning trees. This method is based on the relationship between the coefficients and roots of the characteristic polynomial.
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来源期刊
Polycyclic Aromatic Compounds
Polycyclic Aromatic Compounds 化学-有机化学
CiteScore
3.70
自引率
20.80%
发文量
412
审稿时长
3 months
期刊介绍: The purpose of Polycyclic Aromatic Compounds is to provide an international and interdisciplinary forum for all aspects of research related to polycyclic aromatic compounds (PAC). Topics range from fundamental research in chemistry (including synthetic and theoretical chemistry) and physics (including astrophysics), as well as thermodynamics, spectroscopy, analytical methods, and biology to applied studies in environmental science, biochemistry, toxicology, and industry. Polycyclic Aromatic Compounds has an outstanding Editorial Board and offers a rapid and efficient peer review process, as well as a flexible open access policy.
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