Quantifying the search for solid Li-ion electrolyte materials by anion: A data-driven perspective
We compile data and machine-learned models of solid Li-ion electrolyte performance to assess the state of materials discovery efforts and build new insights for future efforts. Candidate electrolyte materials must satisfy several requirements—chief among them fast ionic conductivity and robust elect...
| Main Authors: | , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
American Chemical Society
2020
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