Exploring the Possibility of Machine Learning for Predicting Ionic Conductivity of Solid-State Electrolytes

[Image: see text] Unlike conventional liquid electrolytes, solid-state electrolytes (SSEs) have gained increased attention in the domain of all-solid-state lithium-ion batteries (ASSBs) due to their safety features, higher energy/power density, better electrochemical stability, and a broader electro...

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Detalles Bibliográficos
Autores principales: Mishra, Atul Kumar, Rajput, Snehal, Karamta, Meera, Mukhopadhyay, Indrajit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10173313/
https://www.ncbi.nlm.nih.gov/pubmed/37179618
http://dx.doi.org/10.1021/acsomega.3c01400

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10173313/
https://www.ncbi.nlm.nih.gov/pubmed/37179618
http://dx.doi.org/10.1021/acsomega.3c01400

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