Transition-Based Constrained DFT for the Robust and Reliable Treatment of Excitations in Supramolecular Systems

TL;DR

This paper introduces T-CDFT, a transition-based constrained DFT method that offers a computationally efficient and robust way to accurately calculate excitation energies, including charge-transfer states, in large supramolecular systems.

Contribution

The paper presents a novel T-CDFT approach that improves robustness and accuracy over traditional methods like $ riangle$SCF and TDDFT, especially for charge-transfer excitations.

Findings

T-CDFT outperforms $ riangle$SCF in accuracy and robustness.

T-CDFT performs comparably to TDDFT for local excitations.

T-CDFT accurately describes charge-transfer excitations, unlike TDDFT.

Abstract

Despite the variety of available computational approaches, state-of-the-art methods for calculating excitation energies such as time-dependent density functional theory (TDDFT), are computationally demanding and thus limited to moderate system sizes. Here, we introduce a new variation of constrained DFT (CDFT), wherein the constraint corresponds to a particular transition (T), or combination of transitions, between occupied and virtual orbitals, rather than a region of the simulation space as in traditional CDFT. We compare T-CDFT with TDDFT and $\Delta$SCF results for the low lying excited states (S$_{1}$ and T$_{1}$) of a set of gas phase acene molecules and OLED emitters, as well as with reference results from the literature. At the PBE level of theory, T-CDFT outperforms $\Delta$SCF for both classes of molecules, while also proving to be more robust. For the local excitations seen in the acenes, T-CDFT and TDDFT perform equally well. For the charge-transfer (CT)-like excitations seen in the OLED molecules, T-CDFT also performs well, in contrast to the severe energy underestimation seen with TDDFT. In other words, T-CDFT is equally applicable to both local excitations and CT states, providing more reliable excitation energies at a much lower computational cost than TDDFT. T-CDFT is designed for large systems and has been implemented in the linear scaling BigDFT code. It is therefore ideally suited for exploring the effects of explicit environments on excitation energies, paving the way for future simulations of excited states in complex realistic morphologies, such as those which occur in OLED materials.