博士論文

Interdisciplinary Study on Experimental and Theoretical Chemistry Involving Machine Learning: Application to Chemical Reactions and Density Functional Theory

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Interdisciplinary Study on Experimental and Theoretical Chemistry Involving Machine Learning: Application to Chemical Reactions and Density Functional Theory

Persistent ID (NDL)
info:ndljp/pid/11551719
Material type
博士論文
Author
藤波, 美起登ほか
Publisher
-
Publication date
2019
Material Format
Digital
Capacity, size, etc.
-
Name of awarding university/degree
早稲田大学,博士(理学)
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Note (General)：

早大学位記番号:新8390

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  • 2023-04-26 再収集

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Digital

Material Type
博士論文
Title
Interdisciplinary Study on Experimental and Theoretical Chemistry Involving Machine Learning: Application to Chemical Reactions and Density Functional Theory
Author/Editor
藤波, 美起登
Fujinami, Mikito
Author Heading
藤波, 美起登
Fujinami, Mikito
Publication Date
2019
Publication Date (W3CDTF)
2019
Alternative Title
機械学習と実験・理論化学の融合研究: 化学反応および密度汎関数理論への応用
Degree grantor/type
早稲田大学
Date Granted
2020-03-15
Date Granted (W3CDTF)
2020-03-15