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High-throughput combinatorial screening of multi-component electrolyte additives to improve the performance of Li metal secondary batteries
Data-driven material discovery has recently become popular in the field of next-generation secondary batteries. However, it is important to obtain large, high quality data sets to apply data-driven methods such as evolutionary algorithms or Bayesian optimization. Combinatorial high-throughput techni...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6470175/ https://www.ncbi.nlm.nih.gov/pubmed/30996343 http://dx.doi.org/10.1038/s41598-019-42766-x |