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キーワード: machine learning
全ての絞り込みを解除
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Computational discovery of stable Na-ion sulfide solid electrolytes with high conductivity at room temperature
ジャーナル論文
著者
Seong-Hoon Jang
(author) (
この著者で検索
)
https://orcid.org/0000-0001-6026-636X
(unauthenticated)
Seong-Hoon Jang
;
Randy Jalem
(author) (
この著者で検索
)
https://orcid.org/0000-0001-9505-771X
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Randy Jalem
;
Yoshitaka Tateyama
(author) (
この著者で検索
)
https://orcid.org/0000-0002-5532-6134
National Institute for Materials Science
NIMS Researchers Directory SAMURAI
Yoshitaka Tateyama
キーワード
all solid state batteries
,
solid electrolytes
,
high-throughput first-principles calculation
,
computational materials search
,
machine learning
,
sodium ion conductors
刊行年月日
2024-08-05
更新時刻
2024-10-10 16:30:52 +0900
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machine learning
(31)
Interfacial thermal resistance
(3)
phosphor
(3)
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(2)
all solid state batteries
(2)
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(2)
inelastic mean free path
(2)
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(2)
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(2)
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(2)
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(1)
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(1)
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(1)
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(1)
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(1)
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(1)
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(1)
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(1)
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RDEメタデータ定義
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資源タイプ
ジャーナル論文(28)
プレゼンテーション(3)
キーワード
machine learning (31)
Interfacial thermal resistance (3)
phosphor (3)
active learning (2)
all solid state batteries (2)
europium (2)
inelastic mean free path (2)
materials informatics (2)
solid electrolytes (2)
thermal insulator (2)
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Creative Commons BY Attribution 4.0 International (19)
In Copyright (8)
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https://creativecommons.org/licenses/by-nc/3.0/legalcode (1)
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application/pdf (27)
application/vnd.openxmlformats-officedocument.wordprocessingml.document (5)
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chemical/x-cif (1)
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