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Working at the interfaces of data science and synthetic electrochemistry

Electrochemistry is quickly entering the mainstream of synthetic organic chemistry. The diversity of new transformations enabled by electrochemistry is to a large extent a consequence of the unique features and reaction parameters in electrochemical systems including redox mediators, applied potenti...

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Autores principales: Alvarado, Jesus I. Martinez, Meinhardt, Jonathan M., Lin, Song
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9014485/
https://www.ncbi.nlm.nih.gov/pubmed/35441154
http://dx.doi.org/10.1016/j.tchem.2022.100012
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author Alvarado, Jesus I. Martinez
Meinhardt, Jonathan M.
Lin, Song
author_facet Alvarado, Jesus I. Martinez
Meinhardt, Jonathan M.
Lin, Song
author_sort Alvarado, Jesus I. Martinez
collection PubMed
description Electrochemistry is quickly entering the mainstream of synthetic organic chemistry. The diversity of new transformations enabled by electrochemistry is to a large extent a consequence of the unique features and reaction parameters in electrochemical systems including redox mediators, applied potential, electrode material, and cell construction. While offering chemists new means to control reactivity and selectivity, these additional features also increase the dimensionalities of a reaction system and complicate its optimization. This challenge, however, has spawned increasing adoption of data science tools to aid reaction discovery as well as development of high-throughput screening platforms that facilitate the generation of high quality datasets. In this Perspective, we provide an overview of recent advances in data-science driven electrochemistry with an emphasis on the opportunities and challenges facing this growing subdiscipline.
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spelling pubmed-90144852022-04-18 Working at the interfaces of data science and synthetic electrochemistry Alvarado, Jesus I. Martinez Meinhardt, Jonathan M. Lin, Song Tetrahedron Chem Article Electrochemistry is quickly entering the mainstream of synthetic organic chemistry. The diversity of new transformations enabled by electrochemistry is to a large extent a consequence of the unique features and reaction parameters in electrochemical systems including redox mediators, applied potential, electrode material, and cell construction. While offering chemists new means to control reactivity and selectivity, these additional features also increase the dimensionalities of a reaction system and complicate its optimization. This challenge, however, has spawned increasing adoption of data science tools to aid reaction discovery as well as development of high-throughput screening platforms that facilitate the generation of high quality datasets. In this Perspective, we provide an overview of recent advances in data-science driven electrochemistry with an emphasis on the opportunities and challenges facing this growing subdiscipline. 2022-03 2022-03-26 /pmc/articles/PMC9014485/ /pubmed/35441154 http://dx.doi.org/10.1016/j.tchem.2022.100012 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) ).
spellingShingle Article
Alvarado, Jesus I. Martinez
Meinhardt, Jonathan M.
Lin, Song
Working at the interfaces of data science and synthetic electrochemistry
title Working at the interfaces of data science and synthetic electrochemistry
title_full Working at the interfaces of data science and synthetic electrochemistry
title_fullStr Working at the interfaces of data science and synthetic electrochemistry
title_full_unstemmed Working at the interfaces of data science and synthetic electrochemistry
title_short Working at the interfaces of data science and synthetic electrochemistry
title_sort working at the interfaces of data science and synthetic electrochemistry
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9014485/
https://www.ncbi.nlm.nih.gov/pubmed/35441154
http://dx.doi.org/10.1016/j.tchem.2022.100012
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