# Parquet approximation for molecules: spectrum and optical conductivity   of the Pariser-Parr-Pople model

**Authors:** Petra Pudleiner, Patrik Thunstr\"om, Angelo Valli, Anna Kauch, and Gang Li, Karsten Held

arXiv: 1812.04962 · 2019-03-14

## TL;DR

This paper applies the parquet approximation to the Pariser-Parr-Pople model of conjugated molecules, revealing differences from Hubbard models and emphasizing the importance of non-local interactions for optical properties.

## Contribution

It demonstrates the effectiveness of the parquet approximation for molecular systems with non-local interactions, providing insights into spectral functions and optical conductivity.

## Key findings

- Weak quasiparticle renormalization compared to Hubbard model
- Static self-energy increases the band gap in PPP
- Vertex corrections significantly impact optical conductivity

## Abstract

We study a simple model system for the conjugated $\pi$-bonds in benzene, the Pariser-Parr-Pople (PPP) model, within the parquet approximation (PA), exemplifying the prospects of the PA for molecules. Advantages of the PA are the polynomial scaling with the number of orbitals, and the natural calculation of one- and two-particle spectral functions as well as of response and correlation functions. We find large differences in the electronic correlations in the PPP model compared to a Hubbard model with only local interactions. The quasiparticle renormalization (or mass enhancement) is much weaker in the PPP than in the Hubbard model, but the static part of the self-energy enhances the band gap of the former. Furthermore, the vertex corrections to the optical conductivity are much more important in the PPP model. Because non-local interactions strongly alter the self-energy, we conclude that the PA is more suitable for calculating conjugated $\pi$-bonds in molecules than single site dynamical mean-field theory.

## Full text

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## Figures

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## References

86 references — full list in the complete paper: https://tomesphere.com/paper/1812.04962/full.md

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Source: https://tomesphere.com/paper/1812.04962