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Valency-Based Molecular Descriptors for Measuring the π-Electronic Energy of Lower Polycyclic Aromatic Hydrocarbons

  • Sakander Hayat*
  • , Suliman Khan
  • , Asad Khan
  • , Jia Bao Liu
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

66 Scopus citations

Abstract

In this article, the efficiency of all the well-known valency-based molecular descriptors has been measured using certain comparative testing. Importantly, we use a computational technique for hexagonal systems to generate regression models to determine the correlation of valency-based molecular descriptors with the π-electronic energies for polycyclic aromatic hydrocarbons. The study implicates some favorable outcomes as the sum-connectivity index and certain Randić index have correlation coefficient of 0.9999. To ensure the applicability of our proposed study, we compute analytically explicit expressions for efficient valency-based molecular descriptors for certain infinite families of carbon nanotubes and carbon nanocones. Our results assist in correlating the π-electronic energies of underlying chemical structures of these nanotubes and nanocones.

Original languageEnglish
Pages (from-to)1113-1129
Number of pages17
JournalPolycyclic Aromatic Compounds
Volume42
Issue number4
DOIs
StatePublished - 2022
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2020 Taylor & Francis Group, LLC.

Keywords

  • Mathematical chemistry
  • QSAR models
  • molecular structure descriptors
  • polycyclic aromatic hydrocarbons
  • valency-based structure descriptors
  • π-electronic energy

ASJC Scopus subject areas

  • Organic Chemistry
  • Polymers and Plastics
  • Materials Chemistry

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