Freeze-and-release direct optimization method for variational calculations of excited electronic states
Yorick L. A. Schmerwitz, Elli Selenius, Gianluca Levi

TL;DR
This paper introduces a freeze-and-release direct optimization method for variational calculations of excited electronic states, effectively avoiding variational collapse and accurately modeling charge transfer states.
Contribution
The authors present a novel optimization strategy that improves excited state calculations by combining orbital freezing with unconstrained saddle point optimization, maintaining computational efficiency.
Findings
The method avoids variational collapse to charge-delocalized solutions.
It accurately captures energy dependence on donor-acceptor separation.
The approach performs well for intramolecular and intermolecular charge transfer states.
Abstract
Variational optimization of orbitals in time-independent density functional calculations of excited electronic states presents a significant challenge, as excited states typically correspond to saddle points on the electronic energy landscape. The optimization can be particularly difficult if the excitation involves significant rearrangement of the electron density, as for charge transfer excitations. A simple strategy for variational orbital optimization of excited states is presented. The approach involves minimizing the energy while freezing the orbitals directly involved in the excitation, followed by a fully unconstrained saddle point optimization. Both steps of this freeze-and-release strategy are carried out using direct optimization algorithms with the same computational scaling as ground state calculations. The performance of the method is extensively assessed in calculations…
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