文章基本信息

标题：Discovery of novel Li SSE and anode coatings using interpretable machine learning and high-throughput multi-property screening
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作者：Shreyas J. Honrao ; Xin Yang ; Balachandran Radhakrishnan 等
期刊名称：Scientific Reports
电子版ISSN：2045-2322
出版年度：2021
卷号：11
DOI：10.1038/s41598-021-94275-5
语种：English
出版社：Springer Nature
摘要：All-solid-state batteries with Li metal anode can address the safety issues surrounding traditional Li-ion batteries as well as the demand for higher energy densities. However, the development of solid electrolytes and protective anode coatings possessing high ionic conductivity and good stability with Li metal has proven to be a challenge. Here, we present our informatics approach to explore the Li compound space for promising electrolytes and anode coatings using high-throughput multi-property screening and interpretable machine learning. To do this, we generate a database of battery-related materials properties by computing \documentclass[12pt