JOURNAL ARTICLE

Computational Probing of Schleyer's Hyperconjugative Aromaticity in a Novel Designed Anion Acceptor.

  • Published In: Journal of Computational Chemistry, 2025, v. 46, n. 9. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Rasul, Lawen Mohammed; Rouhani, Morteza; Mirjafary, Zohreh 3 of 3

Abstract

Quantum chemical simulations were utilized to investigate the nature of the bonding of N3−, P3−, As3−, O2−, S2−, Se2−, F−, Cl−, and Br− anions with the designed anion receptor cyclopenta‐2,4‐diene‐1,1‐diylbis(borane) abbreviated as CPDB and consecutive hyperconjugative aromaticity in its cyclopentadiene ring. Various analytical tools, including quantum theory of atoms in molecules (QTAIM), Electron Localization function (ELF), and reduced density gradient (RDG) were employed to explore the interaction between the selected anions and the CPDB structure. Moreover, the changes in the bond lengths (∆BL), harmonic oscillator model of aromaticity (HOMA), and localized orbital locator purely contributed by π‐orbitals (LOL‐π) analyses were performed to study the hyperconjugative aromaticity upon anion accepting. The findings indicate that the anions are connected to the CPDB structure through the electron deficiency of the B atoms and can induce the aromaticity via Schleyer's hyperconjugative aromaticity to the CPBD's ring. The nature of the interactions and hyperconjugative aromaticity effect of each anion is discussed in detail. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Computational Chemistry. 2025/04, Vol. 46, Issue 9, p1
  • Document Type:Article
  • Subject Area:Chemistry
  • Publication Date:2025
  • ISSN:0192-8651
  • DOI:10.1002/jcc.70084
  • Accession Number:184273469
  • Copyright Statement:Copyright of Journal of Computational Chemistry is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.