Autonomous optimization of non-aqueous Li-ion battery electrolytes via robotic experimentation and machine learning coupling

Developing high-energy and efficient battery technologies is a crucial aspect of advancing the electrification of transportation and aviation. However, battery innovations can take years to deliver. In the case of non-aqueous battery electrolyte solutions, the many design variables in selecting mult...

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Detalles Bibliográficos
Autores principales: Dave, Adarsh, Mitchell, Jared, Burke, Sven, Lin, Hongyi, Whitacre, Jay, Viswanathan, Venkatasubramanian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9515088/
https://www.ncbi.nlm.nih.gov/pubmed/36167832
http://dx.doi.org/10.1038/s41467-022-32938-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9515088/
https://www.ncbi.nlm.nih.gov/pubmed/36167832
http://dx.doi.org/10.1038/s41467-022-32938-1

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