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Predicting Voltammetry Using Physics-Informed Neural Networks
[Image: see text] We propose a discretization-free approach to simulation of cyclic voltammetry using Physics-Informed Neural Networks (PINNs) by constraining a feed-forward neutral network with the diffusion equation and electrochemically consistent boundary conditions. Using PINNs, we first predic...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
American Chemical Society
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9084599/ https://www.ncbi.nlm.nih.gov/pubmed/35007069 http://dx.doi.org/10.1021/acs.jpclett.1c04054 |