Capacitive tendency concept alongside supervised machine-learning toward classifying electrochemical behavior of

Siraprapha Deebansok1, Jie Deng2, Etienne Le Calvez3,4

  • 1Molecular Electrochemistry for Energy laboratory, VISTEC, Institute of Science and Technology, Rayong, 21210, Thailand.

Nature Communications
|February 7, 2024
PubMed
Summary

Machine learning classifies electrode materials for energy storage by analyzing electrochemical curves. This "capacitive tendency" predictor distinguishes battery and pseudocapacitor behaviors, aiding researchers in material selection.

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