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Copyright © 2022 Aqsa Sattar et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0/

Abstract

Dendrimers are artificially synthesized polymeric macromolecules composed of frequently branching chains called monomers. Topological indices (TIs) are the molecular descriptors which characterize the topology and help to correlate the distinct psychochemical properties such as stability, boiling point, and strain energy of molecular compounds. TIs are classified on the basis of their degrees, distance, and spectrum. Among these TIs, connection-based topological descriptors have great significance. In this study, we initiate the general expressions to compute multiplicative connection Zagreb indices (MZIs), named as first MZCI, second MZCI, third MZCI, fourth MZCI, modified first MZCI, modified second MZCI, and modified third MZCI of two exceptional dendrimers nanostars, namely, poly (propyl) ether imine (PPIE) dendrimer and polypropylenimine octamin (PPIO) dendrimer. Furthermore, in order to check the superiority of our computed results, a comparative analysis is conducted.

Details

Title
Computing Connection-Based Topological Indices of Dendrimers
Author
Sattar, Aqsa 1 ; Javaid, Muhammad 1   VIAFID ORCID Logo  ; Bonyah, Ebenezer 2   VIAFID ORCID Logo 

 Department of Mathematics School of Science, University of Management and Technology (UMT), Lahore 54770, Pakistan 
 Department of Mathematics Education, Akenten Appiah-Menka University of Skills Training and Enterpreneurial Development, Kumasi 00233, Ghana 
Editor
Haidar Ali
Publication year
2022
Publication date
2022
Publisher
John Wiley & Sons, Inc.
ISSN
20909063
e-ISSN
20909071
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2648805735
Copyright
Copyright © 2022 Aqsa Sattar et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0/