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Multidimensional Lewis Acidity: A Consistent Data Set of Chloride, Hydride, Methide, Water and Ammonia Affinities for 183 p‐Block Element Lewis Acids
The computed fluoride ion affinity (FIA) is a widely applied descriptor to gauge Lewis acidity. Like every other single‐parameter Lewis acidity scale, the FIA metric suffers from the one‐dimensionality, that prohibits addressing Lewis acidity by the multidimensionality it inherently requires (i. e.,...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8252043/ https://www.ncbi.nlm.nih.gov/pubmed/33755288 http://dx.doi.org/10.1002/cphc.202100150 |
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author | Erdmann, Philipp Greb, Lutz |
author_facet | Erdmann, Philipp Greb, Lutz |
author_sort | Erdmann, Philipp |
collection | PubMed |
description | The computed fluoride ion affinity (FIA) is a widely applied descriptor to gauge Lewis acidity. Like every other single‐parameter Lewis acidity scale, the FIA metric suffers from the one‐dimensionality, that prohibits addressing Lewis acidity by the multidimensionality it inherently requires (i. e., reference Lewis base dependency). However, a systematic screening of computed affinities other than the FIA is much less developed. Herein, we extended our CCSD(T)/CBS benchmark of different density functionals and the DLPNO‐CCSD(T) method for chloride (CIA), methide (MIA), hydride (HIA), water (WA), and ammonia (AA) affinities. The best performing methods are subsequently applied to yield nearly 800 affinities for 183 p‐block element compounds of group 13–16 with an estimated accuracy of <10 kJ mol(−1). The study‘s output serves as a consistent library for qualitative analyses and a training set for future statistical approaches. A first holistic correlation analysis underscores the need for a multidimensional description of Lewis acidity. |
format | Online Article Text |
id | pubmed-8252043 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-82520432021-07-07 Multidimensional Lewis Acidity: A Consistent Data Set of Chloride, Hydride, Methide, Water and Ammonia Affinities for 183 p‐Block Element Lewis Acids Erdmann, Philipp Greb, Lutz Chemphyschem Articles The computed fluoride ion affinity (FIA) is a widely applied descriptor to gauge Lewis acidity. Like every other single‐parameter Lewis acidity scale, the FIA metric suffers from the one‐dimensionality, that prohibits addressing Lewis acidity by the multidimensionality it inherently requires (i. e., reference Lewis base dependency). However, a systematic screening of computed affinities other than the FIA is much less developed. Herein, we extended our CCSD(T)/CBS benchmark of different density functionals and the DLPNO‐CCSD(T) method for chloride (CIA), methide (MIA), hydride (HIA), water (WA), and ammonia (AA) affinities. The best performing methods are subsequently applied to yield nearly 800 affinities for 183 p‐block element compounds of group 13–16 with an estimated accuracy of <10 kJ mol(−1). The study‘s output serves as a consistent library for qualitative analyses and a training set for future statistical approaches. A first holistic correlation analysis underscores the need for a multidimensional description of Lewis acidity. John Wiley and Sons Inc. 2021-05-04 2021-05-17 /pmc/articles/PMC8252043/ /pubmed/33755288 http://dx.doi.org/10.1002/cphc.202100150 Text en © 2021 The Authors. ChemPhysChem published by Wiley-VCH GmbH https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Articles Erdmann, Philipp Greb, Lutz Multidimensional Lewis Acidity: A Consistent Data Set of Chloride, Hydride, Methide, Water and Ammonia Affinities for 183 p‐Block Element Lewis Acids |
title | Multidimensional Lewis Acidity: A Consistent Data Set of Chloride, Hydride, Methide, Water and Ammonia Affinities for 183 p‐Block Element Lewis Acids |
title_full | Multidimensional Lewis Acidity: A Consistent Data Set of Chloride, Hydride, Methide, Water and Ammonia Affinities for 183 p‐Block Element Lewis Acids |
title_fullStr | Multidimensional Lewis Acidity: A Consistent Data Set of Chloride, Hydride, Methide, Water and Ammonia Affinities for 183 p‐Block Element Lewis Acids |
title_full_unstemmed | Multidimensional Lewis Acidity: A Consistent Data Set of Chloride, Hydride, Methide, Water and Ammonia Affinities for 183 p‐Block Element Lewis Acids |
title_short | Multidimensional Lewis Acidity: A Consistent Data Set of Chloride, Hydride, Methide, Water and Ammonia Affinities for 183 p‐Block Element Lewis Acids |
title_sort | multidimensional lewis acidity: a consistent data set of chloride, hydride, methide, water and ammonia affinities for 183 p‐block element lewis acids |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8252043/ https://www.ncbi.nlm.nih.gov/pubmed/33755288 http://dx.doi.org/10.1002/cphc.202100150 |
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