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Can range-separated functionals be optimally tuned to predict spectra and excited state dynamics in photoactive iron complexes?

J. Patrick Zobel, Ayla Kruse, Omar Baig, Stefan Lochbrunner, Sergey I. Bokarev, Oliver Kühn, Leticia González, Olga S. Bokareva

2023Chemical Science23 citationsDOIOpen Access PDF

Abstract

with push-pull ligands. Various tuning strategies are contemplated based on pure self-consistent DFT protocols, as well as on the comparison with experimental spectra and multireference CASPT2 results. The two most promising sets of optimal parameters are then employed to carry out nonadiabatic surface-hopping dynamics simulations. Intriguingly, we find that the two sets lead to very different relaxation pathways and timescales. While the set of optimal parameters from one of the self-consistent DFT protocols predicts the formation of long-lived metal-to-ligand charge transfer triplet states, the set in better agreement with CASPT2 calculations leads to deactivation in the manifold of metal-centered states, in better agreement with the experimental reference data. These results showcase the complexity of iron-complex excited state landscapes and the difficulty of obtaining an unambiguous parametrization of long-range corrected functionals without experimental input.

Topics & Concepts

Excited stateParametrization (atmospheric modeling)ChemistryDensity functional theoryRelaxation (psychology)Molecular dynamicsRange (aeronautics)Statistical physicsChemical physicsSpectral lineComputational chemistryMolecular physicsPhysicsAtomic physicsQuantum mechanicsMaterials scienceRadiative transferSocial psychologyPsychologyComposite materialPhotochemistry and Electron Transfer StudiesMetal-Catalyzed Oxygenation MechanismsSpectroscopy and Quantum Chemical Studies
Can range-separated functionals be optimally tuned to predict spectra and excited state dynamics in photoactive iron complexes? | Litcius