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J-GLOBAL ID:201902277388718578   Reference number:19A2661126

機械学習の工学問題への適用 深層学習とシミュレーションの連携事例

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Volume: 24  Issue:Page: 3983-3987  Publication year: Oct. 31, 2019 
JST Material Number: L5669A  ISSN: 1341-7622  Document type: Article
Article type: 解説  Country of issue: Japan (JPN)  Language: JAPANESE (JA)
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Artificial intelligence  ,  Computer simulation  ,  Numerical computation 
Reference (27):
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  • D. Matsuoka, M. Nakano, D. Sugiyama, and S. Uchida, Deep learning approach for detecting tropical cyclones and their precursors in the simulation by a cloud-resolving global nonhydrostatic atmospheric model, Prog. Earth Planet. Sci. Vol. 80, Article No. 5, (2018).
  • A. Agrawal, and A. Choudhary, Materials informatics and big data: Realization of the ′′fourth paradigm′′ of science in materials science, APL Materials Vol. 4, 053208, (2016)
  • R. Ramprasad, R. Batra, G. Pilania, A. M.-Kanakkithodi, and C. Kim, Machine learning in materials informatics: recent applications and prospects, NPJ Comp. Materials Vol. 3, Article No. 54, (2017).
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