Machine learning-assisted design of oxygen-containing inorganic coating materials on a separator for lithium metal anodes

DOI: 10.1039/d5qi00111k Publication Date: 2025-03-18T14:00:37Z
ABSTRACT
A high-throughput screening workflow integrated with machine learning and calculations has been used to identify possible materials. Both characterization and electrochemical test results show that HfO2@PP exhibits the best performance.
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