Geometric-Quadratic and Quadratic-Geometric Indices-based Entropy Measures of Silicon Carbide Networks

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dc.contributor.authorDas S.
dc.contributor.authorKumar V.
dc.contributor.authorBarman J.
dc.date.accessioned2025-01-13T07:07:47Z
dc.date.available2025-01-13T07:07:47Z
dc.date.issued2024
dc.description.abstractIn chemical graph theory, topological indices are numerical quantities associated with the structure of molecular compounds. These indices are utilized in the construction of quantitative structure-property relationships (QSPR) and quantitative structure-activity relationships (QSAR) analysis and quantify the different features of the molecular topology. M-polynomial gives a handy method for managing complex computations involving various indices and offers a consistent methodology to derive multiple degree-based topological indices. Graph entropy measures are employed to measure the structural information content, disorder and complexity of a graph. In this article, we examine the geometric-quadratic (GQ) and quadratic-geometric (QG) indices for silicon carbide networks, namely Si2C3-I[p,q], Si2C3-II[p,q] and Si2C3-III[p,q] with the help of their respective M-polynomials. Next, we propose the idea of the GQ-QG indices-based entropy measure and compute their expressions for the above-said networks. Furthermore, the graphical representation and numerical computation of the GQ-QG indices and associated entropy measures are performed to assess their behavior. These indices and entropy measures may be helpful in predicting the physico-chemical properties and understanding the structural behavior of the considered silicon carbide networks. � The Author(s), under exclusive licence to Springer Nature B.V. 2024.
dc.identifier.doi10.1007/s12633-024-03173-8
dc.identifier.issn1876990X
dc.identifier.urihttps://dl.bhu.ac.in/ir/handle/123456789/2909
dc.language.isoen
dc.publisherSpringer Science and Business Media B.V.
dc.subject05C09
dc.subject05C92
dc.subject94A17
dc.subjectEntropy measure
dc.subjectGQ index
dc.subjectM-polynomial
dc.subjectQG index
dc.subjectSilicon carbide networks
dc.titleGeometric-Quadratic and Quadratic-Geometric Indices-based Entropy Measures of Silicon Carbide Networks
dc.typeArticle
journal.titleSilicon

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