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:English
Published: Nature Publishing Group 2021-06-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-92030-4