Excitation energies through Becke's exciton model within a Cartesian-grid KS DFT

TL;DR

This paper introduces a simple, non-empirical DFT method based on Becke's exciton model for calculating singlet and triplet excitation energies in organic chromophores, showing high accuracy and moderate computational cost.

Contribution

It develops a novel, grid-based, time-independent DFT approach for excitation energies using Becke's exciton model, improving accuracy and efficiency over traditional methods.

Findings

Excitation energies agree well with TD-B3LYP results.

Method accurately predicts optical gaps in organic chromophores.

Approach is computationally efficient for larger systems.

Abstract

Photon-induced electronic excitations are ubiquitously observed in organic chromophore. In this context, we present a simple, alternative time-independent DFT procedure, for computation of single-particle excitation energies, in particular, the lower bound excited singlet states, which are of primary interest in photochemistry. This takes inspiration from recently developed Becke's exciton model, where a key step constitutes the accurate evaluation of correlated singlet-triplet splitting energy. It introduces a non-empirical model, both from "adiabatic connection theorem" and "virial theorem" to analyze the role of 2e$^-$ integral in such calculations. The latter quantity is efficiently mapped onto a real grid and computed accurately using a purely numerical strategy. Illustrative calculations are performed on 10 $\pi$-electron organic chromophores within a Cartesian-grid implementation of pseudopotential Kohn-Sham (KS) DFT, developed in our laboratory, taking SBKJC-type basis functions within B3LYP approximation. The triplet and singlet excitation energies corresponding to first singly excited configuration, are found to be in excellent agreement with TD-B3LYP calculations. Further, we perform the same for a set of larger molecular systems using the asymptotically corrected LC-BLYP, in addition to B3LYP. A systematic comparison with theoretical best estimates demonstrates the viability and suitability of current approach in determining optical gaps, combining predictive accuracy with moderate computational cost.