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 language | English |
|---|---|
| Pages (from-to) | 1113-1129 |
| Number of pages | 17 |
| Journal | Polycyclic Aromatic Compounds |
| Volume | 42 |
| Issue number | 4 |
| DOIs | |
| State | Published - 2022 |
| Externally published | Yes |
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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