https://doi.org/10.1140/epjp/s13360-023-04432-0
Regular Article
Topological analysis of entropy measure using regression models for silver iodide
1
School of Automation, Wuhan University of Technology, Wuhan, China
2
Abdus Salam School of Mathematical Sciences, Government College University, Lahore, Pakistan
3
Department of Mathematics, Government College University, Lahore, Pakistan
4
Department of Mathematics, COMSATS University Islamabad, Lahore Campus, Lahore, Pakistan
Received:
3
August
2023
Accepted:
28
August
2023
Published online:
13
September
2023
This study explores the topological analysis of an entropy measure concerning silver iodide through the application of regression models. Entropy, as a fundamental concept in thermodynamics, is a crucial property in understanding the behavior of materials. In this research, we investigate the entropy of silver iodide and its relationship with various topological characteristics. The ruby-red color of silver iodide indicates optical properties, suitable for opto-electronics, lasers, and display technologies. The probability distribution of the vertex sets and the particular structure of the graph are considered by the measure of graph entropy, which expresses the complexity and uncertainty inside a graph. In this paper, we modify Zagreb indices and use them to compute entropy measurements. By analyzing these relationships, we aim to gain deeper insights into the structural properties of silver iodide and its impact on its entropy. In addition, we build a regression model to illustrate how the estimated indices and entropy fit the curve. The outcomes show how well the suggested Zagreb indices capture information content and how they relate to entropy.
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© The Author(s), under exclusive licence to Società Italiana di Fisica and Springer-Verlag GmbH Germany, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.