Computational Analysis of Mostar Type Indices and Entropy Measures in Silicon Dioxide and Nanostructures

IF 2.8 3区 材料科学 Q3 CHEMISTRY, PHYSICAL
Silicon Pub Date : 2025-01-15 DOI:10.1007/s12633-025-03221-x
Jiang-Hua Tang, Muhammad Kamran Siddiqui, Muhammad Yousaf Bhatti, Muhammad Younas, Shazia Manzoor, Muhammad Farhan Hanif
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引用次数: 0

Abstract

This article presents a comprehensive topological analysis of Mostar-type indices and entropy measures applied to Silicon Dioxide \((SiO_{2})\) and nanostructures. To characterize the complexity and variety within \(SiO_{2}\) and other nanostructures, this research looks into the calculation of Mostar-type indices, a unique mathematical framework, and entropy metrics. This work presents a thorough investigation of the atomic arrangements and information content inherent in these materials by using cutting-edge computational tools and algorithms. The measurement of complex molecular structures can be achieved through the correlation of entropy with graphs. Various graph entropies have been proposed in the literature. This study introduces novel graph entropies that utilize bond additive indices to assess network and graph peripherality. Specifically, we calculated the Mostar type indices, Mostar entropy, edge Mostar entropy, and total Mostar entropy for molecular structures such as \(SiO_{2}\), \(C_{8}\) layer structure, and melem chain nanostructure. Moreover, analytical expressions for these entropies were derived using the cut method.

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来源期刊
Silicon
Silicon CHEMISTRY, PHYSICAL-MATERIALS SCIENCE, MULTIDISCIPLINARY
CiteScore
5.90
自引率
20.60%
发文量
685
审稿时长
>12 weeks
期刊介绍: The journal Silicon is intended to serve all those involved in studying the role of silicon as an enabling element in materials science. There are no restrictions on disciplinary boundaries provided the focus is on silicon-based materials or adds significantly to the understanding of such materials. Accordingly, such contributions are welcome in the areas of inorganic and organic chemistry, physics, biology, engineering, nanoscience, environmental science, electronics and optoelectronics, and modeling and theory. Relevant silicon-based materials include, but are not limited to, semiconductors, polymers, composites, ceramics, glasses, coatings, resins, composites, small molecules, and thin films.
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