Bayesian optimization-driven enhancement of the thermoelectric properties of polycrystalline III-V semiconductor thin films
Abstract Studying the properties of thermoelectric materials needs substantial effort owing to the interplay of the trade-off relationships among the influential parameters. In view of this issue, artificial intelligence has recently been used to investigate and optimize thermoelectric materials. He...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-03-01
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| Series: | NPG Asia Materials |
| Online Access: | https://doi.org/10.1038/s41427-024-00536-w |
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