Machine learning based prediction of lattice thermal conductivity for half-Heusler compounds using atomic information
Abstract Half-Heusler compound has drawn attention in a variety of fields as a candidate material for thermoelectric energy conversion and spintronics technology. When the half-Heusler compound is incorporated into the device, the control of high lattice thermal conductivity owing to high crystal sy...
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| Auteurs principaux: | , , , , , , |
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| Format: | article |
| Langue: | EN |
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Nature Portfolio
2021
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| Accès en ligne: | https://doaj.org/article/60e5cd41c9824d02be48e9272e3151ac |
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