Topological analysis of entropy measure using regression models for silver iodide
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
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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