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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Main Authors: | Hidetoshi Miyazaki, Tomoyuki Tamura, Masashi Mikami, Kosuke Watanabe, Naoki Ide, Osman Murat Ozkendir, Yoichi Nishino |
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Format: | article |
Language: | EN |
Published: |
Nature Portfolio
2021
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Subjects: | |
Online Access: | https://doaj.org/article/60e5cd41c9824d02be48e9272e3151ac |
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