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Edge Weight-Based Entropy of Magnesium Iodide Graph
Author(s) -
Maryam Salem Alatawi,
Ali Hasan Ahmad,
Ali N. A. Koam,
Sadia Husain,
Muhammad Azeem
Publication year - 2021
Publication title -
journal of mathematics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.252
H-Index - 13
eISSN - 2314-4785
pISSN - 2314-4629
DOI - 10.1155/2021/4330498
Subject(s) - molecular graph , entropy (arrow of time) , magnesium , graph theory , iodide , principle of maximum entropy , chemistry , graph , computational chemistry , mathematics , statistical physics , computer science , combinatorics , thermodynamics , physics , inorganic chemistry , organic chemistry , artificial intelligence
Among the inorganic compounds, there are many influential crystalline structures, and magnesium iodide is the most selective. In the making of medicine and its development, magnesium iodide is considered a multipurpose and rich compound. Chemical structures and networks can be studied by given tools of molecular graph theory. Given tools of molecular graph theory can be studied for chemical structures and networks, which are considered economical with simple methodology. Edge weight-based entropy is a recent advent tool of molecular graph theory to study chemical networks and structures. It provides the structural information of chemical networks or their related build-up graphs and highlights the molecular properties in the form of a polynomial function. In this work, we provide the edge weight-based entropy of magnesium iodide structure and compute different entropies, such as Zagreb and atom bond connectivity entropies.

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