Machine learning based feature engineering for thermoelectric materials by design
Availability of material datasets through high performance computing has enabled the use of machine learning to not only discover correlations and employ materials informatics to perform screening, but also to take the first steps towards materials by design. Computational materials databases are we...
| Main Authors: | , , , , , , , |
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| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/174884 |