Three-Dimensional Structural Modelling and Characterization of Sodalite Material Network concerning the Irregularity Topological Indices

Author:

Zaman Shahid1ORCID,Salman Muhammad1,Ullah Asad2ORCID,Ahmad Shahzad3,Abdelgader Abas Mohammed Salaheldeen4ORCID

Affiliation:

1. Department of Mathematics, University of Sialkot, Sialkot 51310, Pakistan

2. Department of Mathematical Sciences, Karakoram International University Gilgit, Gilgit 15100, Pakistan

3. Department of Mathematics, University of Management and Technology, Lahore, Sialkot Campus, Pakistan

4. Department of Mathematics, Faculty of Mathematical and Computer Science, University of Gezira, Wad Madani, Sudan

Abstract

Topological characterization of 3D molecular structures is an emerging study area in theoretical and computational chemistry. These structural descriptors are used in a variety of domains, including chemical graph theory, drug delivery, and nanomaterial characterization. Quantitative structural descriptors can be used to characterize the chemical and physical properties of a given compound. Topological indices of molecular graphs are numerical quantities that allow us to collect information about the chemical structure and reveal its hidden qualities without performing experiments. Due to the low cost of implementation, zeolite networks are considered popular chemical networks. Zeolites are widely used networks with applications in chemistry, medicine, and commercial production owing to their excellent chemical features. The sodalite network is composed of a very unique type of zeolite framework called sodalite. It is a three-dimensional network of interconnected cages and tunnels that provide an ideal environment for a wide range of chemical and physical processes. This paper deals with the sodalite material network’s degree-based and reverse degree-based irregularity indices. These indices provide a quantitative measure of the irregular behaviour of the sodalite material network. It can be used to identify areas of the network where irregular behaviour is occurring and to compare different networks to determine which is more irregular. Additionally, these indices can be used to monitor changes in irregularity over time, allowing us to measure the impact of any interventions that are implemented.

Publisher

Hindawi Limited

Subject

General Mathematics

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