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