论第三类六角衍生网络的尼玛拉指数及其细分网络

S. Rai, Shibsankar Das
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引用次数: 0

摘要

一些基于度数的拓扑指数在检测各种化学网络的化学特性方面发挥着重要作用。由六边形网状网络组成的六边形衍生网络在技术、制药和物理科学领域有着广泛的应用。在这项研究工作中,我们重点研究第三类维数为 n 的不同六边形衍生网络及其细分。尼玛拉指数(如尼玛拉指数、第一逆尼玛拉指数和第二逆尼玛拉指数)是新引入的基于度数的拓扑指数。在此,我们通过标准数学公式和基于 M 多项式的方法计算出上述网络的这些尼玛拉指数值。此外,我们还绘制了这些网络及其细分网络在不同维度上的尼玛拉指数,以便对它们进行比较研究。所获得的结果有助于展示所考虑的六边形衍生网络及其细分网络的结构特性。此外,它还可能影响研究人员在尼玛拉指数的意义上对结构及其细分进行基于比较的研究。
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On Nirmala Indices of Some Hex-derived Networks of Type Three and Their Subdivision Networks
Several degree-based topological indices have a vital role in the inspection of the chemical properties of various chemical networks. Hex-derived networks, made up of hexagonal mesh networks, have wide applications in the fields of technology, pharmacy and physical sciences. In this research work, we focus on different hex-derived networks of the third type of dimension n and their subdivisions. The Nirmala indices (such as the Nirmala index, the first inverse Nirmala index and the second inverse Nirmala index) are newly introduced degree-based topological indices. Here, we compute the values of these Nirmala indices for the above networks under consideration by operating their standard mathematical formulas and the M-polynomial based method. In addition, we plot the Nirmala indices of the networks and their subdivisions in different dimensions for the purpose of comparative studies among them. The results acquired are helpful in demonstrating the structural properties of considered hex-derived networks and their subdivisions. Also, it may influence the researchers for comparative based studies of the structure and their subdivisions in the sense of the Nirmala indices.
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