Inclusion of multiple cycling of potential in the deep neural network classification of voltammetric reaction mechanisms

The use of deep neural networks (DNNs) for the classification of electrochemical mechanisms using simulated voltammograms with one cycle of potential for training has previously been reported. In this paper, it is shown how valuable additional patterns for mechanism distinction become available when...

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Veröffentlicht in:	Faraday discussions 2022-04, Vol.233, p.44-57
Hauptverfasser:	Gundry, Luke, Kennedy, Gareth, Bond, Alan M, Zhang, Jie
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Chemical reactions Classification Electron transfer Neural networks Neural Networks, Computer Reaction mechanisms Tensors Training
Online-Zugang:	Volltext
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