2022
DOI: 10.1021/acs.analchem.2c00110
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Experimental Voltammetry Analyzed Using Artificial Intelligence: Thermodynamics and Kinetics of the Dissociation of Acetic Acid in Aqueous Solution

Abstract: 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 coefficie… Show more

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Cited by 6 publications
(1 citation statement)
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“…highlighted the power of unsupervised algorithms on the examples clustering of particle distributions, biological tissues, and atomic structures, that is still, however, poorly exploited in electrochemistry. [39,42,[46][47][48] Indeed, such automatized data treatment will provide various local descriptors for each (and all) nanoobjects imaged which can be used to reconstruct the global electrochemical response and in turns unveil the nanoscale contribution contained in an electrode response.…”
Section: Introductionmentioning
confidence: 99%
“…highlighted the power of unsupervised algorithms on the examples clustering of particle distributions, biological tissues, and atomic structures, that is still, however, poorly exploited in electrochemistry. [39,42,[46][47][48] Indeed, such automatized data treatment will provide various local descriptors for each (and all) nanoobjects imaged which can be used to reconstruct the global electrochemical response and in turns unveil the nanoscale contribution contained in an electrode response.…”
Section: Introductionmentioning
confidence: 99%