Interpretable learning of voltage for electrode design of multivalent metal-ion batteries
Abstract Deep learning (DL) has indeed emerged as a powerful tool for rapidly and accurately predicting materials properties from big data, such as the design of current commercial Li-ion batteries. However, its practical utility for multivalent metal-ion batteries (MIBs), the most promising future...
| Main Authors: | , , , |
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| Format: | Article |
| Sprog: | English |
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Nature Portfolio
2022-08-01
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| Serier: | npj Computational Materials |
| Online adgang: | https://doi.org/10.1038/s41524-022-00858-9 |