2024
DOI: 10.1002/ange.202315937
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Discovering Electrochemistry with an Electrochemistry‐Informed Neural Network (ECINN)

Haotian Chen,
Minjun Yang,
Bedřich Smetana
et al.

Abstract: Machine learning is increasingly integrated into chemistry research by guiding experimental procedures, correlating structure, and function, interpreting large experimental datasets, to distill scientific insights that might be challenging with traditional methods. Such applications, however, largely focus on gaining insights via big data and/or big computation, while neglecting the valuable chemical prior knowledge dwelling in chemists’ minds. In this paper, we introduce an Electrochemistry‐Informed Neural Ne… Show more

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