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Protocols for Understanding the Redox Behavior of Copper-Containing Systems

[Image: see text] Suitability of single-reference density functional theory (DFT) methods for the calculation of redox potentials of copper-containing macrocycle complexes was confirmed by the use of T(1) diagnostics along with a verification of negligible spin contamination or wave function instabi...

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Autores principales: Malcomson, Thomas, Repiščák, Peter, Erhardt, Stefan, Paterson, Martin J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9753522/
https://www.ncbi.nlm.nih.gov/pubmed/36530299
http://dx.doi.org/10.1021/acsomega.2c05484
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author Malcomson, Thomas
Repiščák, Peter
Erhardt, Stefan
Paterson, Martin J.
author_facet Malcomson, Thomas
Repiščák, Peter
Erhardt, Stefan
Paterson, Martin J.
author_sort Malcomson, Thomas
collection PubMed
description [Image: see text] Suitability of single-reference density functional theory (DFT) methods for the calculation of redox potentials of copper-containing macrocycle complexes was confirmed by the use of T(1) diagnostics along with a verification of negligible spin contamination or wave function instability. When examining the effect of improvement in the cc-pVnZ basis set series on calculated redox potentials, the results readily converged at the cc-pVTZ level. The all-electron Def2-TZVPP basis set is shown to be a suitable choice of a basis set for the calculation of redox potentials when utilizing a cc-pVTZ geometry. The best-performing model chemistries are determined to be the M06/polarizable continuum model (PCM); therefore, a scheme for redox potential calculations of copper macrocycles using either M06/cc-pVTZ with PCM solvation is proposed to reliably reproduce experimental trends.
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spelling pubmed-97535222022-12-16 Protocols for Understanding the Redox Behavior of Copper-Containing Systems Malcomson, Thomas Repiščák, Peter Erhardt, Stefan Paterson, Martin J. ACS Omega [Image: see text] Suitability of single-reference density functional theory (DFT) methods for the calculation of redox potentials of copper-containing macrocycle complexes was confirmed by the use of T(1) diagnostics along with a verification of negligible spin contamination or wave function instability. When examining the effect of improvement in the cc-pVnZ basis set series on calculated redox potentials, the results readily converged at the cc-pVTZ level. The all-electron Def2-TZVPP basis set is shown to be a suitable choice of a basis set for the calculation of redox potentials when utilizing a cc-pVTZ geometry. The best-performing model chemistries are determined to be the M06/polarizable continuum model (PCM); therefore, a scheme for redox potential calculations of copper macrocycles using either M06/cc-pVTZ with PCM solvation is proposed to reliably reproduce experimental trends. American Chemical Society 2022-11-30 /pmc/articles/PMC9753522/ /pubmed/36530299 http://dx.doi.org/10.1021/acsomega.2c05484 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Malcomson, Thomas
Repiščák, Peter
Erhardt, Stefan
Paterson, Martin J.
Protocols for Understanding the Redox Behavior of Copper-Containing Systems
title Protocols for Understanding the Redox Behavior of Copper-Containing Systems
title_full Protocols for Understanding the Redox Behavior of Copper-Containing Systems
title_fullStr Protocols for Understanding the Redox Behavior of Copper-Containing Systems
title_full_unstemmed Protocols for Understanding the Redox Behavior of Copper-Containing Systems
title_short Protocols for Understanding the Redox Behavior of Copper-Containing Systems
title_sort protocols for understanding the redox behavior of copper-containing systems
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9753522/
https://www.ncbi.nlm.nih.gov/pubmed/36530299
http://dx.doi.org/10.1021/acsomega.2c05484
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