Predicting Ionic Conductivity in Thin Films of Garnet Electrolytes Using Machine Learning

All-solid-state batteries (ASSBs) are the important attributes of the forthcoming technologies for electrochemical energy storage. A key element of ASSBs is the solid electrolyte materials. Garnets are considered promising candidates for solid electrolytes of ASSBs due to their chemical stability wi...

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Bibliographic Details

Published in:	Batteries
Main Authors:	Natalia Kireeva, Aslan Yu. Tsivadze, Vladislav S. Pervov
Format:	Article
Language:	English
Published:	MDPI AG 2023-08-01
Subjects:	solid electrolytes thin films ionic conductivity elastic characteristics machine learning
Online Access:	https://www.mdpi.com/2313-0105/9/9/430