Rotating Disk Electrodes beyond the Levich Approximation: Physics-Informed Neural Networks Reveal and Quantify Edge Effects

[Image: see text] Physics-informed neural networks are used to characterize the mass transport to the rotating disk electrode (RDE), the most widely employed hydrodynamic electrode in electroanalysis. The PINN approach was first quantitatively verified via 1D simulations under the Levich approximati...

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Detalles Bibliográficos
Autores principales: Chen, Haotian, Kätelhön, Enno, Compton, Richard G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10469374/
https://www.ncbi.nlm.nih.gov/pubmed/37590478
http://dx.doi.org/10.1021/acs.analchem.3c01936

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10469374/
https://www.ncbi.nlm.nih.gov/pubmed/37590478
http://dx.doi.org/10.1021/acs.analchem.3c01936

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