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2023-01-16T04:25:10Z
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A model electronic Hamiltonian to describe low-lying d–d and metal-to-ligand charge-transfer excited states of [Fe(bpy)3]^2+
Iuchi, Satoru
Koga, Nobuaki
open access
This is the peer reviewed version of the following article: [Iuchi, S, Koga, N. A model electronic Hamiltonian to describe low‐lying d–d and metal‐to‐ligand charge‐transfer excited states of [Fe(bpy)3]2+. J Comput Chem. 2021; 42: 166–179. https://doi.org/10.1002/jcc.26444]. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.
excited states
iron polypyridyl complex
MLCT
model Hamiltonian
spin–orbit coupling
A simple practical method to compute both d–d and metal‐to‐ligand charge‐transfer (MLCT) excited states of iron(II) polypyridyl complexes is proposed for use in simulation studies. Specifically, a model electronic Hamiltonian developed previously for d–d excited states of [Fe(bpy)3]^2+ is extended to deal with low‐lying MLCT excited states simultaneously by including the MLCT electronic configurations into the basis functions of the model Hamiltonian. As a first attempt, parameters in the model Hamiltonian matrix elements are determined by using density functional theory (DFT) and time‐dependent (TD‐)DFT calculation results as benchmarks. To examine the performance of the model Hamiltonian, the potential energy curves along the interpolation between the lowest singlet and quintet state structures are compared to those from the (TD‐)DFT calculations and to those from CASPT2 calculations in literature. The electronic absorption spectrum computed through molecular dynamics simulation is compared to the experimental spectrum. The spin‐orbit couplings at the ground state structure are also compared to those from wavefunction‐based ab initio electronic structure calculations. The results indicate that the constructed model Hamiltonian provides reasonable information on both the low‐lying d–d and MLCT excited states of [Fe(bpy)3]^2+.
ファイル公開:2022-01-30
Wiley
2020-01-30
eng
journal article
AM
http://hdl.handle.net/2237/00033913
https://nagoya.repo.nii.ac.jp/records/31733
https://doi.org/10.1002/jcc.26444
0192-8651
Journal of Computational Chemistry
42
3
166
179
https://nagoya.repo.nii.ac.jp/record/31733/files/manuscript.pdf
application/pdf
1.6 MB
2022-01-30