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On Topological Indices for Complex Indium Phosphate Network and Their Applications
Author(s) -
Hui Wang,
Lubna Sherin,
Sana Javed,
Sadia Khalid,
Waqar Asghar,
Samuel Asefa Fufa
Publication year - 2022
Publication title -
complexity
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.447
H-Index - 61
eISSN - 1099-0526
pISSN - 1076-2787
DOI - 10.1155/2022/9707749
Subject(s) - indium phosphide , graph , nonlinear system , entropy (arrow of time) , matlab , topological index , statistical physics , computer science , thermodynamics , mathematics , physics , theoretical computer science , condensed matter physics , combinatorics , quantum mechanics , operating system , gallium arsenide
A chemical compound in the form of graph terminology is known as a chemical graph. Molecules are usually represented as vertices, while their bonding or interaction is shown by edges in a molecular graph. In this paper, we computed various connectivity indices based on degrees of vertices of a chemical graph of indium phosphide (InP). Afterward, we found the physical measures like entropy and heat of formation of InP. Then, we fitted curves between different indices and the thermodynamical properties, namely, heat of formation and entropy. Curve fitting was done in MATLAB through different methods based on linearity and nonlinearity. Furthermore, we depicted our results numerically and graphically. These numerical systems may give an approach to concentrate on the thermodynamical properties of the compound design of InP at an exceptional level that will help understand the connection between framework measurement and these actions.

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