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Uncertainty Quantification of Reactivity Scales

According to Mayr, polar organic synthesis can be rationalized by a simple empirical relationship linking bimolecular rate constants to as few as three reactivity parameters. Here, we propose an extension to Mayr's reactivity method that is rooted in uncertainty quantification and transforms th...

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Autores principales: Proppe, Jonny, Kircher, Johannes
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9314972/
https://www.ncbi.nlm.nih.gov/pubmed/35189024
http://dx.doi.org/10.1002/cphc.202200061
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author Proppe, Jonny
Kircher, Johannes
author_facet Proppe, Jonny
Kircher, Johannes
author_sort Proppe, Jonny
collection PubMed
description According to Mayr, polar organic synthesis can be rationalized by a simple empirical relationship linking bimolecular rate constants to as few as three reactivity parameters. Here, we propose an extension to Mayr's reactivity method that is rooted in uncertainty quantification and transforms the reactivity parameters into probability distributions. Through uncertainty propagation, these distributions can be transformed into uncertainty estimates for bimolecular rate constants. Chemists can exploit these virtual error bars to enhance synthesis planning and to decrease the ambiguity of conclusions drawn from experimental data. We demonstrate the above at the example of the reference data set released by Mayr and co‐workers [J. Am. Chem. Soc. 2001, 123, 9500; J. Am. Chem. Soc. 2012, 134, 13902]. As by‐product of the new approach, we obtain revised reactivity parameters for 36 π‐nucleophiles and 32 benzhydrylium ions.
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spelling pubmed-93149722022-07-30 Uncertainty Quantification of Reactivity Scales Proppe, Jonny Kircher, Johannes Chemphyschem Research Articles According to Mayr, polar organic synthesis can be rationalized by a simple empirical relationship linking bimolecular rate constants to as few as three reactivity parameters. Here, we propose an extension to Mayr's reactivity method that is rooted in uncertainty quantification and transforms the reactivity parameters into probability distributions. Through uncertainty propagation, these distributions can be transformed into uncertainty estimates for bimolecular rate constants. Chemists can exploit these virtual error bars to enhance synthesis planning and to decrease the ambiguity of conclusions drawn from experimental data. We demonstrate the above at the example of the reference data set released by Mayr and co‐workers [J. Am. Chem. Soc. 2001, 123, 9500; J. Am. Chem. Soc. 2012, 134, 13902]. As by‐product of the new approach, we obtain revised reactivity parameters for 36 π‐nucleophiles and 32 benzhydrylium ions. John Wiley and Sons Inc. 2022-03-18 2022-04-20 /pmc/articles/PMC9314972/ /pubmed/35189024 http://dx.doi.org/10.1002/cphc.202200061 Text en © 2022 The Authors. ChemPhysChem published by Wiley-VCH GmbH https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Research Articles
Proppe, Jonny
Kircher, Johannes
Uncertainty Quantification of Reactivity Scales
title Uncertainty Quantification of Reactivity Scales
title_full Uncertainty Quantification of Reactivity Scales
title_fullStr Uncertainty Quantification of Reactivity Scales
title_full_unstemmed Uncertainty Quantification of Reactivity Scales
title_short Uncertainty Quantification of Reactivity Scales
title_sort uncertainty quantification of reactivity scales
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9314972/
https://www.ncbi.nlm.nih.gov/pubmed/35189024
http://dx.doi.org/10.1002/cphc.202200061
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