Predicting thermoelectric transport properties from composition with attention-based deep learning
Thermoelectric materials can be used to construct devices which recycle waste heat into electricity. However, the best known thermoelectrics are based on rare, expensive or even toxic elements, which limits their widespread adoption. To enable deployment on global scales, new classes of effective th...
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| Principais autores: | , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
IOP Publishing
2023-01-01
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| Serija: | Machine Learning: Science and Technology |
| Teme: | |
| Online dostop: | https://doi.org/10.1088/2632-2153/acc4a9 |
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