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On Predicting Mössbauer Parameters of Iron-Containing Molecules with Density-Functional Theory

[Image: see text] The performance of six frequently used density functional theory (DFT) methods (RPBE, OLYP, TPSS, B3LYP, B3LYP*, and TPSSh) in the prediction of Mössbauer isomer shifts(δ) and quadrupole splittings (ΔE(Q)) is studied for an extended and diverse set of Fe complexes. In addition to t...

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Autores principales: Pápai, Mátyás, Vankó, György
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2013
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4358633/
https://www.ncbi.nlm.nih.gov/pubmed/25821417
http://dx.doi.org/10.1021/ct4007585
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author Pápai, Mátyás
Vankó, György
author_facet Pápai, Mátyás
Vankó, György
author_sort Pápai, Mátyás
collection PubMed
description [Image: see text] The performance of six frequently used density functional theory (DFT) methods (RPBE, OLYP, TPSS, B3LYP, B3LYP*, and TPSSh) in the prediction of Mössbauer isomer shifts(δ) and quadrupole splittings (ΔE(Q)) is studied for an extended and diverse set of Fe complexes. In addition to the influence of the applied density functional and the type of the basis set, the effect of the environment of the molecule, approximated with the conducting-like screening solvation model (COSMO) on the computed Mössbauer parameters, is also investigated. For the isomer shifts the COSMO-B3LYP method is found to provide accurate δ values for all 66 investigated complexes, with a mean absolute error (MAE) of 0.05 mm s(–1) and a maximum deviation of 0.12 mm s(–1). Obtaining accurate ΔE(Q) values presents a bigger challenge; however, with the selection of an appropriate DFT method, a reasonable agreement can be achieved between experiment and theory. Identifying the various chemical classes of compounds that need different treatment allowed us to construct a recipe for ΔE(Q) calculations; the application of this approach yields a MAE of 0.12 mm s(–1) (7% error) and a maximum deviation of 0.55 mm s(–1) (17% error). This accuracy should be sufficient for most chemical problems that concern Fe complexes. Furthermore, the reliability of the DFT approach is verified by extending the investigation to chemically relevant case studies which include geometric isomerism, phase transitions induced by variations of the electronic structure (e.g., spin crossover and inversion of the orbital ground state), and the description of electronically degenerate triplet and quintet states. Finally, the immense and often unexploited potential of utilizing the sign of the ΔE(Q) in characterizing distortions or in identifying the appropriate electronic state at the assignment of the spectral lines is also shown.
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spelling pubmed-43586332015-03-26 On Predicting Mössbauer Parameters of Iron-Containing Molecules with Density-Functional Theory Pápai, Mátyás Vankó, György J Chem Theory Comput [Image: see text] The performance of six frequently used density functional theory (DFT) methods (RPBE, OLYP, TPSS, B3LYP, B3LYP*, and TPSSh) in the prediction of Mössbauer isomer shifts(δ) and quadrupole splittings (ΔE(Q)) is studied for an extended and diverse set of Fe complexes. In addition to the influence of the applied density functional and the type of the basis set, the effect of the environment of the molecule, approximated with the conducting-like screening solvation model (COSMO) on the computed Mössbauer parameters, is also investigated. For the isomer shifts the COSMO-B3LYP method is found to provide accurate δ values for all 66 investigated complexes, with a mean absolute error (MAE) of 0.05 mm s(–1) and a maximum deviation of 0.12 mm s(–1). Obtaining accurate ΔE(Q) values presents a bigger challenge; however, with the selection of an appropriate DFT method, a reasonable agreement can be achieved between experiment and theory. Identifying the various chemical classes of compounds that need different treatment allowed us to construct a recipe for ΔE(Q) calculations; the application of this approach yields a MAE of 0.12 mm s(–1) (7% error) and a maximum deviation of 0.55 mm s(–1) (17% error). This accuracy should be sufficient for most chemical problems that concern Fe complexes. Furthermore, the reliability of the DFT approach is verified by extending the investigation to chemically relevant case studies which include geometric isomerism, phase transitions induced by variations of the electronic structure (e.g., spin crossover and inversion of the orbital ground state), and the description of electronically degenerate triplet and quintet states. Finally, the immense and often unexploited potential of utilizing the sign of the ΔE(Q) in characterizing distortions or in identifying the appropriate electronic state at the assignment of the spectral lines is also shown. American Chemical Society 2013-10-15 2013-11-12 /pmc/articles/PMC4358633/ /pubmed/25821417 http://dx.doi.org/10.1021/ct4007585 Text en Copyright © 2013 American Chemical Society This is an open access article published under a Creative Commons Attribution (CC-BY) License (http://pubs.acs.org/page/policy/authorchoice_ccby_termsofuse.html) , which permits unrestricted use, distribution and reproduction in any medium, provided the author and source are cited.
spellingShingle Pápai, Mátyás
Vankó, György
On Predicting Mössbauer Parameters of Iron-Containing Molecules with Density-Functional Theory
title On Predicting Mössbauer Parameters of Iron-Containing Molecules with Density-Functional Theory
title_full On Predicting Mössbauer Parameters of Iron-Containing Molecules with Density-Functional Theory
title_fullStr On Predicting Mössbauer Parameters of Iron-Containing Molecules with Density-Functional Theory
title_full_unstemmed On Predicting Mössbauer Parameters of Iron-Containing Molecules with Density-Functional Theory
title_short On Predicting Mössbauer Parameters of Iron-Containing Molecules with Density-Functional Theory
title_sort on predicting mössbauer parameters of iron-containing molecules with density-functional theory
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4358633/
https://www.ncbi.nlm.nih.gov/pubmed/25821417
http://dx.doi.org/10.1021/ct4007585
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