Reference Vertical Excitation Energies for Transition Metal Compounds
Denis Jacquemin, F\'abris Kossoski, Franck Gam, Martial, Boggio-Pasqua, Pierre-Fran\c{c}ois Loos

TL;DR
This paper expands the extsc{quest} database by providing high-accuracy vertical excitation energies for eleven transition metal diatomic molecules using advanced coupled-cluster and multiconfigurational methods, and compares these with experimental data.
Contribution
It introduces benchmark transition energies for transition metal compounds computed with high-level methods, enriching the existing database and enabling method performance assessment.
Findings
High-level coupled-cluster and multiconfigurational methods yield consistent excitation energies.
Benchmark data in aug-cc-pVDZ and aug-cc-pVTZ basis sets established.
Comparisons with experimental data validate the computational approaches.
Abstract
To enrich and enhance the diversity of the \textsc{quest} database of highly-accurate excitation energies [\href{https://doi.org/10.1002/wcms.1517}{V\'eril \textit{et al.}, \textit{WIREs Comput.~Mol.~Sci.}~\textbf{11}, e1517 (2021)}], we report vertical transition energies in transition metal compounds. Eleven diatomic molecules with singlet or doublet ground state containing a fourth-row transition metal (\ce{CuCl}, \ce{CuF}, \ce{CuH}, \ce{ScF}, \ce{ScH}, \ce{ScO}, \ce{ScS}, \ce{TiN}, \ce{ZnH}, \ce{ZnO}, and \ce{ZnS}) are considered and the corresponding excitation energies are computed using high-level coupled-cluster (CC) methods, namely CC3, CCSDT, CC4, and CCSDTQ, as well as multiconfigurational methods such as CASPT2 and NEVPT2. In some cases, to provide more comprehensive benchmark data, we also provide full configuration interaction estimates computed with the…
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Taxonomy
TopicsInorganic Fluorides and Related Compounds · Inorganic Chemistry and Materials · Machine Learning in Materials Science
