Topological Properties and Entropy Calculations of Aluminophosphates

Jeyaraj Sahaya Vijay, Santiago Roy (), Bheeter Charles Beromeo, Mohamad Nazri Husin (), Tony Augustine, R.U. Gobithaasan and Michael Easuraja
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Jeyaraj Sahaya Vijay: School of Advanced Sciences, Vellore Institute of Technology, Vellore 632 014, India
Santiago Roy: School of Advanced Sciences, Vellore Institute of Technology, Vellore 632 014, India
Bheeter Charles Beromeo: School of Advanced Sciences, Vellore Institute of Technology, Vellore 632 014, India
Mohamad Nazri Husin: Special Interest Group on Modelling and Data Analytics (SIGMDA), Faculty of Ocean Engineering Technology and Informatics, Universiti Malaysia Terengganu, Kuala Nerus 21030, Terengganu, Malaysia
Tony Augustine: School of Advanced Sciences, Vellore Institute of Technology, Vellore 632 014, India
R.U. Gobithaasan: Special Interest Group on Modelling and Data Analytics (SIGMDA), Faculty of Ocean Engineering Technology and Informatics, Universiti Malaysia Terengganu, Kuala Nerus 21030, Terengganu, Malaysia
Michael Easuraja: Department of Chemistry, Arul Anandar College, Karumathur 625 514, India

Mathematics, 2023, vol. 11, issue 11, 1-16

Abstract: Topological indices are invariant numerical quantities of a graph that give facts about the structure of graphs and are found to be very helpful in predicting the physical properties of aluminophosphates. The characteristics of aluminophosphates are similar to the characteristics of zeolites. Two examples of current applications are natural gas dehydration and humidity sensors. Researchers in chemistry and materials science are synthesizing new frameworks. There are many layers and holes in these substances. The technique used to predict natural behaviors among the physicochemical characteristics of chemical molecules in their basic network is known as topological indices. This study explains the vertex version of distance-based topological indices, the entropy of topological indices and their numerical analysis.

Keywords: aluminophosphates; vertex-based molecular descriptors; cut method; Shannon’s method; correlation coefficient (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
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