Eccentricity-Based Topological Descriptors of First Type of Hex-Derived Network. (9th May 2022)

• Record Type: Journal Article
• Authors: Babar, Usman; Naseem, Asim; Shaker, Hani; Zobair, Mian Muhammad; Ali, Haidar
• Other Names: Penoni Andrea Academic Editor.
• Is Part Of: Journal of chemistry. Volume 2022(2022)
• Publication Date: 2022-05-09
• Subjects: Chemistry -- Periodicals; 540.5
• DOI: 10.1155/2022/3340057
• Languages: English
• ISSNs: 2090-9063

Abstract

Abstract : Graph theory has made significant progress in mathematical chemistry and has gained a lot of traction among scientists due to its numerous applications in mathematical chemistry. The numerical invariants of a molecular structure are known as molecular topological descriptors, and they are highly effective for predicting their bioactivity. A number of such indices are examined and applied in pharmaceutical research, chemistry, medication development, and other fields. The eccentricity-based Zagreb indices, total eccentricity, geometric arithmetic G A 4, atom-bond connectivity A B C 5, and average eccentricity indices of a hex-derived network of first type are computed in this article. We also provide analytically closed formulas for these descriptors, which may be used to investigate the underlying topologies.