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...
| Главные авторы: | , , |
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| Формат: | Статья |
| Язык: | English |
| Опубликовано: |
MDPI AG
2023-08-01
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| Серии: | Batteries |
| Предметы: | |
| Online-ссылка: | https://www.mdpi.com/2313-0105/9/9/430 |