Issue 40, 2023, Issue in Progress

The relationship between structure and excited-state properties in polyanilines from geminal-based methods

Abstract

We employ state-of-the-art quantum chemistry methods to study the structure-to-property relationship in polyanilines (PANIs) of different lengths and oxidation states. Specifically, we focus on leucoemeraldine, emeraldine, and pernigraniline in their tetramer and octamer forms. We scrutinize their structural properties, HOMO and LUMO energies, HOMO–LUMO gaps, and vibrational and electronic spectroscopy using various Density Functional Approximations (DFAs). Furthermore, the accuracy of DFAs is assessed by comparing them to experimental and wavefunction-based reference data. We perform large-scale orbital-optimized pair-Coupled Cluster Doubles (oo-pCCD) calculations for ground and electronically excited states and conventional Configuration Interaction Singles (CIS) calculations for electronically excited states in all investigated systems. The EOM-pCCD+S approach with pCCD-optimized orbitals allows us to unambiguously identify charge transfer and local transitions across the investigated PANI systems—an analysis not possible within a delocalized canonical molecular orbital basis obtained, for instance, by DFAs. We show that the low-lying part of the emeraldine and pernigraniline spectrum is dominated by charge transfer excitations and that polymer elongation changes the character of the leading transitions. Furthermore, we augment our study with a quantum informational analysis of orbital correlations in various forms of PANIs.

Graphical abstract: The relationship between structure and excited-state properties in polyanilines from geminal-based methods

Supplementary files

Article information

Article type
Paper
Submitted
17 Aug 2023
Accepted
04 Sep 2023
First published
20 Sep 2023
This article is Open Access
Creative Commons BY-NC license

RSC Adv., 2023,13, 27898-27911

The relationship between structure and excited-state properties in polyanilines from geminal-based methods

S. Jahani, K. Boguslawski and P. Tecmer, RSC Adv., 2023, 13, 27898 DOI: 10.1039/D3RA05621J

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