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Machine learning assisted optimization of electrochemical properties for Ni-rich cathode materials
Optimizing synthesis parameters is the key to successfully design ideal Ni-rich cathode materials that satisfy principal electrochemical specifications. We herein implement machine learning algorithms using 330 experimental datasets, obtained from a controlled environment for reliability, to constru...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6202356/ https://www.ncbi.nlm.nih.gov/pubmed/30361533 http://dx.doi.org/10.1038/s41598-018-34201-4 |