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Accurate (57)Fe Mössbauer Parameters from General Gaussian Basis Sets
[Image: see text] The prediction of isomer shifts in (57)Fe Mossbauer spectra is typically achieved by building calibration lines using the values of the density at the nuclear position. Using Slater-type orbital basis or large and specific Gaussian-type orbital basis has been thus far mandatory to...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8675134/ https://www.ncbi.nlm.nih.gov/pubmed/34806886 http://dx.doi.org/10.1021/acs.jctc.1c00722 |
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author | Comas-Vilà, Gerard Salvador, Pedro |
author_facet | Comas-Vilà, Gerard Salvador, Pedro |
author_sort | Comas-Vilà, Gerard |
collection | PubMed |
description | [Image: see text] The prediction of isomer shifts in (57)Fe Mossbauer spectra is typically achieved by building calibration lines using the values of the density at the nuclear position. Using Slater-type orbital basis or large and specific Gaussian-type orbital basis has been thus far mandatory to achieve accurate predictions with density functional theory methods. In this work, we show that replacing the value of the density at the nucleus by the density integrated in a sphere of radius 0.06 au centered on the Fe nuclei yields excellent calibration lines (r(2) = 0.976) with a high predictive power (q(2) = 0.975, MAE = 0.055 mm·s(–1)) while using the conventional def2-TZVP basis set and X-ray geometrical parameters. Our data set comprises 69 (57)Fe-containing compounds and 103 signals. We also find B3LYP performing significantly better than the PW91 functional. |
format | Online Article Text |
id | pubmed-8675134 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-86751342021-12-17 Accurate (57)Fe Mössbauer Parameters from General Gaussian Basis Sets Comas-Vilà, Gerard Salvador, Pedro J Chem Theory Comput [Image: see text] The prediction of isomer shifts in (57)Fe Mossbauer spectra is typically achieved by building calibration lines using the values of the density at the nuclear position. Using Slater-type orbital basis or large and specific Gaussian-type orbital basis has been thus far mandatory to achieve accurate predictions with density functional theory methods. In this work, we show that replacing the value of the density at the nucleus by the density integrated in a sphere of radius 0.06 au centered on the Fe nuclei yields excellent calibration lines (r(2) = 0.976) with a high predictive power (q(2) = 0.975, MAE = 0.055 mm·s(–1)) while using the conventional def2-TZVP basis set and X-ray geometrical parameters. Our data set comprises 69 (57)Fe-containing compounds and 103 signals. We also find B3LYP performing significantly better than the PW91 functional. American Chemical Society 2021-11-22 2021-12-14 /pmc/articles/PMC8675134/ /pubmed/34806886 http://dx.doi.org/10.1021/acs.jctc.1c00722 Text en © 2021 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 | Comas-Vilà, Gerard Salvador, Pedro Accurate (57)Fe Mössbauer Parameters from General Gaussian Basis Sets |
title | Accurate (57)Fe Mössbauer Parameters
from General Gaussian Basis Sets |
title_full | Accurate (57)Fe Mössbauer Parameters
from General Gaussian Basis Sets |
title_fullStr | Accurate (57)Fe Mössbauer Parameters
from General Gaussian Basis Sets |
title_full_unstemmed | Accurate (57)Fe Mössbauer Parameters
from General Gaussian Basis Sets |
title_short | Accurate (57)Fe Mössbauer Parameters
from General Gaussian Basis Sets |
title_sort | accurate (57)fe mössbauer parameters
from general gaussian basis sets |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8675134/ https://www.ncbi.nlm.nih.gov/pubmed/34806886 http://dx.doi.org/10.1021/acs.jctc.1c00722 |
work_keys_str_mv | AT comasvilagerard accurate57femossbauerparametersfromgeneralgaussianbasissets AT salvadorpedro accurate57femossbauerparametersfromgeneralgaussianbasissets |