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Predicting the Capacitance of Carbon-based Electric Double Layer Capacitors by Machine Learning† by Haiping Su; Sen Lin; Shengwei Deng; Cheng Lian; Yazhuo Shang; Honglai Liu is a Materials Science article available to read on EtoBox.

What is Predicting the Capacitance of Carbon-based Electric Double Layer Capacitors by Machine Learning† about?

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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Author

Haiping Su; Sen Lin; Shengwei Deng; Cheng Lian; Yazhuo Shang; Honglai Liu

Published

2019

Language

EN

Field

Materials Science (Physical Sciences)