Identifying superionic conductors by materials informatics and high-throughput synthesis

High-throughput prediction and synthesis are vital for obtaining new materials that deviate from existing compositions. Here, machine learning is combined with high-throughput synthesis to identify superionic conductors based on Ca-(Nb,Ta)-Bi-O.

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Autores principales: Masato Matsubara, Akitoshi Suzumura, Nobuko Ohba, Ryoji Asahi
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2020
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Acceso en línea:https://doaj.org/article/37c9bea1495d4ca7b93080fed99149bd
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