Machine learning based prediction of lattice thermal conductivity for half-Heusler compounds using atomic information

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 symmetry is...

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Detalles Bibliográficos
Autores principales: Miyazaki, Hidetoshi, Tamura, Tomoyuki, Mikami, Masashi, Watanabe, Kosuke, Ide, Naoki, Ozkendir, Osman Murat, Nishino, Yoichi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8239013/
https://www.ncbi.nlm.nih.gov/pubmed/34183699
http://dx.doi.org/10.1038/s41598-021-92030-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8239013/
https://www.ncbi.nlm.nih.gov/pubmed/34183699
http://dx.doi.org/10.1038/s41598-021-92030-4

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