Predicting thermoelectric properties from chemical formula with explicitly identifying dopant effects

Abstract Dopants play an important role in synthesizing materials to improve target materials properties or stabilize the materials. In particular, the dopants are essential to improve thermoelectic performances of the materials. However, existing machine learning methods cannot accurately predict t...

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Autores principales: Gyoung S. Na, Seunghun Jang, Hyunju Chang
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/432bbf5584254aeaa21e56b499ab0a42
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