Identifying superionic conductors by materials informatics and high-throughput synthesis
High-throughput prediction and synthesis are vital for obtaining new materials that deviate from existing compositions. Here, machine learning is combined with high-throughput synthesis to identify superionic conductors based on Ca-(Nb,Ta)-Bi-O.
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2020-02-01
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| Series: | Communications Materials |
| Online Access: | https://doi.org/10.1038/s43246-019-0004-7 |