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• W3162901100 endingPage "4909" @default.
• W3162901100 startingPage "4895" @default.
• W3162901100 abstract "The analysis of graphs and networks is a multidisciplinary research field from its origin. As such, it has been extensively used also in biomedicine, cheminformatics, and in bioinformatics, where approaches based on graph descriptors have been offered for communicating with the numerous challenging tasks. In quantitative structure-activity (QSAR) and quantitative structure-property (QSPR) relationships studies, graph invariants are used to forecast the biological activities and properties of nanomaterials. In these studies, degree-based topological descriptors have founded comprehensive acceptance among the different types of descriptors, because of the ease of generation and the speed with which these calculations can be performed. In this article, we first compute the M-polynomials of 2D kagome lattice and then derive the closed form of various significant topological degree-based indices in terms of the M-polynomials and partition techniques. Furthermore, we sketch surfaces that show the dependence of some topological indices on the parameters of the structure." @default.
• W3162901100 created "2021-05-24" @default.
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• W3162901100 date "2021-05-17" @default.
• W3162901100 modified "2023-09-23" @default.
• W3162901100 title "On Computations of Topological Descriptors of Kagome Lattice" @default.
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• W3162901100 doi "https://doi.org/10.1080/10406638.2021.1923537" @default.
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