All-solid-state batteries (ASSBs) are the objects of ever-increasing research interest as one of the most prospective electrochemical energy storage technologies. Among the materials of the solid-state electrolytes,garnet-type oxides are the objects of increased research interest due to a number of the attractive characteristics such as the competitive ionic transport characteristics, wide electrochemical window, stability with Li and its alloys, the transference number close to unity, and the negligible values of the electronic conductivity.<br/>In this study, the role of the composition, disorder and the processing of the compounds is considered. Machine learning approaches have been used to obtain the quantitative models to predict the total conductivity and the activation energy values.

Modeling Ionic conductivities and activation energies in garnet-structured electrolytes: composition, disorder and processing influence

ACS Spring Meeting 2021

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