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Updated: Aug 28, 2025

Evaluating the Electrochemical Properties of Supercapacitors using the Three-Electrode System
Published on: January 7, 2022
Predicting the capacitance of carbon-based electric double layer capacitors by machine learning
Haiping Su1, Sen Lin2, Shengwei Deng3
1State Key Laboratory of Chemical Engineering, Shanghai Engineering Research Center of Hierarchical Nanomaterials, School of Chemistry and Molecular Engineering, East China University of Science and Technology Shanghai 200237 PR China hlliu@ecust.edu.cn liancheng@ecust.edu.cn.
Abstract:
Machine learning (ML) methods were applied to predict the capacitance of carbon-based supercapacitors. Hundreds of published experimental datasets are collected for training ML models to identify the relative importance of seven electrode features. This present method could be used to predict and screen better carbon electrode materials.
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