Experimental Voltammetry Analyzed Using Artificial Intelligence: Thermodynamics and Kinetics of the Dissociation of Acetic Acid in Aqueous Solution
Author:
Affiliation:
1. Department of Chemistry, Physical and Theoretical Chemistry Laboratory, Oxford University, South Parks Road, Oxford OX1 3QZ, Great Britain
2. MHP Management- und IT-Beratung GmbH, Königsallee 49, 71638 Ludwigsburg, Germany
Funder
Lady Margaret Hall, University of Oxford
Publisher
American Chemical Society (ACS)
Subject
Analytical Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/acs.analchem.2c00110
Reference49 articles.
1. Discrimination of Beers by Cyclic Voltammetry Using a Single Carbon Screen‐printed Electrode
2. Machine Learning Techniques for Chemical Identification Using Cyclic Square Wave Voltammetry
3. Deep Learning for Voltammetric Sensing in a Living Animal Brain
4. AI powered electrochemical multi-component detection of insulin and glucose in serum
5. Automatically Identifying Electrode Reaction Mechanisms Using Deep Neural Networks
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