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Algorithmic Explorations of Unimolecular and Bimolecular Reaction Spaces

Algorithmic reaction exploration based on transition state searches has already made inroads into many niche applications, but its potential as a general‐purpose tool is still largely unrealized. Computational cost and the absence of benchmark problems involving larger molecules remain obstacles to...

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Detalles Bibliográficos
Autores principales: Zhao, Qiyuan, Savoie, Brett M.
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/PMC9827825/
https://www.ncbi.nlm.nih.gov/pubmed/36074520
http://dx.doi.org/10.1002/anie.202210693
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author Zhao, Qiyuan
Savoie, Brett M.
author_facet Zhao, Qiyuan
Savoie, Brett M.
author_sort Zhao, Qiyuan
collection PubMed
description Algorithmic reaction exploration based on transition state searches has already made inroads into many niche applications, but its potential as a general‐purpose tool is still largely unrealized. Computational cost and the absence of benchmark problems involving larger molecules remain obstacles to further progress. Here an ultra‐low cost exploration algorithm is implemented and used to explore the reactivity of unimolecular and bimolecular reactants, comprising a total of 581 reactions involving 51 distinct reactants. The algorithm discovers all established reaction pathways, where such comparisons are possible, while also revealing a much richer reactivity landscape, including lower barrier reaction pathways and a strong dependence of reaction conformation in the apparent barriers of the reported reactions. The diversity of these benchmarks illustrate that reaction exploration algorithms are approaching general‐purpose capability.
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spelling pubmed-98278252023-01-10 Algorithmic Explorations of Unimolecular and Bimolecular Reaction Spaces Zhao, Qiyuan Savoie, Brett M. Angew Chem Int Ed Engl Research Articles Algorithmic reaction exploration based on transition state searches has already made inroads into many niche applications, but its potential as a general‐purpose tool is still largely unrealized. Computational cost and the absence of benchmark problems involving larger molecules remain obstacles to further progress. Here an ultra‐low cost exploration algorithm is implemented and used to explore the reactivity of unimolecular and bimolecular reactants, comprising a total of 581 reactions involving 51 distinct reactants. The algorithm discovers all established reaction pathways, where such comparisons are possible, while also revealing a much richer reactivity landscape, including lower barrier reaction pathways and a strong dependence of reaction conformation in the apparent barriers of the reported reactions. The diversity of these benchmarks illustrate that reaction exploration algorithms are approaching general‐purpose capability. John Wiley and Sons Inc. 2022-10-17 2022-11-14 /pmc/articles/PMC9827825/ /pubmed/36074520 http://dx.doi.org/10.1002/anie.202210693 Text en © 2022 The Authors. Angewandte Chemie International Edition published by Wiley-VCH GmbH https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Zhao, Qiyuan
Savoie, Brett M.
Algorithmic Explorations of Unimolecular and Bimolecular Reaction Spaces
title Algorithmic Explorations of Unimolecular and Bimolecular Reaction Spaces
title_full Algorithmic Explorations of Unimolecular and Bimolecular Reaction Spaces
title_fullStr Algorithmic Explorations of Unimolecular and Bimolecular Reaction Spaces
title_full_unstemmed Algorithmic Explorations of Unimolecular and Bimolecular Reaction Spaces
title_short Algorithmic Explorations of Unimolecular and Bimolecular Reaction Spaces
title_sort algorithmic explorations of unimolecular and bimolecular reaction spaces
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9827825/
https://www.ncbi.nlm.nih.gov/pubmed/36074520
http://dx.doi.org/10.1002/anie.202210693
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