Volume 63, Issue 13 e202402855
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Inside Cover: Discovering Electrochemistry with an Electrochemistry-Informed Neural Network (ECINN) (Angew. Chem. Int. Ed. 13/2024)

Dr. Haotian Chen

Dr. Haotian Chen

Department of Chemistry, Physical and Theoretical Chemistry Laboratory, University of Oxford, South Parks Road, OX1 3QZ Oxford, UK

These authors contributed equally to this work.

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Dr. Minjun Yang

Dr. Minjun Yang

Department of Chemistry, Physical and Theoretical Chemistry Laboratory, University of Oxford, South Parks Road, OX1 3QZ Oxford, UK

These authors contributed equally to this work.

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Prof. Bedřich Smetana

Prof. Bedřich Smetana

Department of chemistry and physico-chemical processes, Faculty of materials science and technology, VSB—Technical University of Ostrava, 17. listopadu 2172/15, 70800 Ostrava-Poruba, Czech Republic

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Prof. Vlastimil Novák

Prof. Vlastimil Novák

Department of chemistry and physico-chemical processes, Faculty of materials science and technology, VSB—Technical University of Ostrava, 17. listopadu 2172/15, 70800 Ostrava-Poruba, Czech Republic

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Prof. Vlastimil Matějka

Prof. Vlastimil Matějka

Department of chemistry and physico-chemical processes, Faculty of materials science and technology, VSB—Technical University of Ostrava, 17. listopadu 2172/15, 70800 Ostrava-Poruba, Czech Republic

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Prof. Richard G. Compton

Corresponding Author

Prof. Richard G. Compton

Department of Chemistry, Physical and Theoretical Chemistry Laboratory, University of Oxford, South Parks Road, OX1 3QZ Oxford, UK

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First published: 16 February 2024

Graphical Abstract

A festive electrochemistry-informed neural network (ECINN) is demonstrated by Richard G. Compton et al. (e202315937) in their Communication. The ECINN has three subnets, each made of three layers of “Chinese lantern” neurons, embedding diverse electrochemical knowledge including electrochemical kinetics to mass transport to solve experimental voltammograms and hence parameter estimation. Decorated with auspicious clouds and China′s earliest dragon from Neolithic Hongshan Culture, the cover celebrates the Year of the Dragon.

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