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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
RSC
2019
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| Materias: | |
| 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 |