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Experimental Voltammetry Analyzed Using Artificial Intelligence: Thermodynamics and Kinetics of the Dissociation of Acetic Acid in Aqueous Solution

[Image: see text] Artificial intelligence (AI) is used to quantitatively analyze the voltammetry of the reduction of acetic acid in aqueous solution generating thermodynamic and kinetic data. Specifically, the variation of the steady-state current for the reduction of protons at a platinum microelec...

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Autores principales: Chen, Haotian, Li, Danlei, Kätelhön, Enno, Miao, Ruiyang, Compton, Richard G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9082489/
https://www.ncbi.nlm.nih.gov/pubmed/35381175
http://dx.doi.org/10.1021/acs.analchem.2c00110
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author Chen, Haotian
Li, Danlei
Kätelhön, Enno
Miao, Ruiyang
Compton, Richard G.
author_facet Chen, Haotian
Li, Danlei
Kätelhön, Enno
Miao, Ruiyang
Compton, Richard G.
author_sort Chen, Haotian
collection PubMed
description [Image: see text] Artificial intelligence (AI) is used to quantitatively analyze the voltammetry of the reduction of acetic acid in aqueous solution generating thermodynamic and kinetic data. Specifically, the variation of the steady-state current for the reduction of protons at a platinum microelectrode as a function of the bulk concentration of acetic acid is recorded and analyzed giving data in close agreement with independent measurements, provided the AI is trained with accurate and precise knowledge of diffusion coefficients of acetic acid, acetate ions, and H(+).
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spelling pubmed-90824892022-05-10 Experimental Voltammetry Analyzed Using Artificial Intelligence: Thermodynamics and Kinetics of the Dissociation of Acetic Acid in Aqueous Solution Chen, Haotian Li, Danlei Kätelhön, Enno Miao, Ruiyang Compton, Richard G. Anal Chem [Image: see text] Artificial intelligence (AI) is used to quantitatively analyze the voltammetry of the reduction of acetic acid in aqueous solution generating thermodynamic and kinetic data. Specifically, the variation of the steady-state current for the reduction of protons at a platinum microelectrode as a function of the bulk concentration of acetic acid is recorded and analyzed giving data in close agreement with independent measurements, provided the AI is trained with accurate and precise knowledge of diffusion coefficients of acetic acid, acetate ions, and H(+). American Chemical Society 2022-04-05 2022-04-19 /pmc/articles/PMC9082489/ /pubmed/35381175 http://dx.doi.org/10.1021/acs.analchem.2c00110 Text en © 2022 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 Chen, Haotian
Li, Danlei
Kätelhön, Enno
Miao, Ruiyang
Compton, Richard G.
Experimental Voltammetry Analyzed Using Artificial Intelligence: Thermodynamics and Kinetics of the Dissociation of Acetic Acid in Aqueous Solution
title Experimental Voltammetry Analyzed Using Artificial Intelligence: Thermodynamics and Kinetics of the Dissociation of Acetic Acid in Aqueous Solution
title_full Experimental Voltammetry Analyzed Using Artificial Intelligence: Thermodynamics and Kinetics of the Dissociation of Acetic Acid in Aqueous Solution
title_fullStr Experimental Voltammetry Analyzed Using Artificial Intelligence: Thermodynamics and Kinetics of the Dissociation of Acetic Acid in Aqueous Solution
title_full_unstemmed Experimental Voltammetry Analyzed Using Artificial Intelligence: Thermodynamics and Kinetics of the Dissociation of Acetic Acid in Aqueous Solution
title_short Experimental Voltammetry Analyzed Using Artificial Intelligence: Thermodynamics and Kinetics of the Dissociation of Acetic Acid in Aqueous Solution
title_sort experimental voltammetry analyzed using artificial intelligence: thermodynamics and kinetics of the dissociation of acetic acid in aqueous solution
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9082489/
https://www.ncbi.nlm.nih.gov/pubmed/35381175
http://dx.doi.org/10.1021/acs.analchem.2c00110
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