Predicting the capacitance of carbon-based electric double layer capacitors by machine learning

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 sc...

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Detalles Bibliográficos
Autores principales: Su, Haiping, Lin, Sen, Deng, Shengwei, Lian, Cheng, Shang, Yazhuo, Liu, Honglai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: RSC 2019
Materias:
Chemistry
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9419274/
https://www.ncbi.nlm.nih.gov/pubmed/36131961
http://dx.doi.org/10.1039/c9na00105k

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9419274/
https://www.ncbi.nlm.nih.gov/pubmed/36131961
http://dx.doi.org/10.1039/c9na00105k

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