Excimer Energies

Ruoqi Zhao, Christian Hettich, Jun Zhang, Meiyi Liu, Jiali Gao

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6 Scopus citations

Abstract

A multistate energy decomposition analysis (MS-EDA) method is introduced for excimers using density functional theory. Although EDA has been widely applied to intermolecular interactions in the ground state, few methods are currently available for excited-state complexes. Here, the total energy of an excimer state is separated into exciton excitation energy ΔEEx(|ΨX·ΨY⟩*), resulting from the state interaction between locally excited monomer states |ΨX*·ΨY⟩ and |ΨX·ΨY*⟩ , a superexchange stabilization energy ΔESE, originating from the mutual charge transfer between two monomers |ΨX+·ΨY⟩ and |ΨX-·ΨY+⟩ , and an orbital-and-configuration delocalization term ΔEOCD due to the expansion of configuration space and block-localized orbitals to the fully delocalized dimer system. Although there is no net charge transfer in symmetric excimer cases, the resonance of charge-transfer states is critical to stabilizing the excimer. The monomer localized excited and charge-transfer states are variationally optimized, forming a minimal active space for nonorthogonal state interaction (NOSI) calculations in multistate density functional theory to yield the intermediate states for energy analysis. The present MS-EDA method focuses on properties unique to excited states, providing insights into exciton coupling, superexchange and delocalization energies. MS-EDA is illustrated on the acetone and pentacene excimer systems; three configurations of the latter case are examined, including the optimized excimer, a stacked configuration of two pentacene molecules and the fishbone orientation. It is found that excited-state energy splitting is strongly dependent on the relative energies of the monomer excited states and the phase-matching of the monomer wave functions.

Original languageEnglish (US)
Pages (from-to)2917-2926
Number of pages10
JournalJournal of Physical Chemistry Letters
Volume14
Issue number12
DOIs
StatePublished - Mar 30 2023

Bibliographical note

Funding Information:
This work was supported in part by the Shenzhen Municipal Science and Technology Innovation Commission (KQTD2017-0330155106581) and the Key-area Research and Development Program of Guangdong Province (2020B0101350001). Computation work carried out at Minnesota has been supported by the National Institutes of Health (Grant GM046736).

Publisher Copyright:
© 2023 American Chemical Society.

PubMed: MeSH publication types

  • Journal Article

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