A Fast Forward Prediction Framework for Energy Materials Design Based on Machine Learning Methods
Energy materials play an important role in renewable and green energy technologies. The exploration of new materials, including nanomaterials, is important for breaking through the current bottlenecks of energy density and charging rates. However, traditional theoretical computational methods face t...
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| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
American Association for the Advancement of Science (AAAS)
2024-01-01
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| Series: | Energy Material Advances |
| Online Access: | https://spj.science.org/doi/10.34133/energymatadv.0131 |
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