Predicting the capacitance of carbon-based electric double layer capacitors by machine learning.
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ABSTRACT:
SUBMITTER: Su H
PROVIDER: S-EPMC9419274 | biostudies-literature | 2019 Jun
REPOSITORIES: biostudies-literature
Publications
Predicting the capacitance of carbon-based electric double layer capacitors by machine learning.
Su Haiping H Lin Sen S Deng Shengwei S Lian Cheng C Shang Yazhuo Y Liu Honglai H
Nanoscale advances 20190425 6
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. ...[more]
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