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J-GLOBAL ID:201801004892392637   Update date: Jan. 30, 2024

Oishi Atsuya

オオイシ アツヤ | Oishi Atsuya
Affiliation and department:
Research field  (1): Machine materials and mechanics
Research theme for competitive and other funds  (2):
  • 2005 - 2007 Research of Simulator for Predicting Quake-Proof Capability of Nuclear Power Plants
  • 1996 - 1996 柔らかな情報処理による構造材料信頼性評価システム自動構築の研究
Papers (29):
MISC (20):
  • Atsuya Oishi. Computational mechanics enhanced by machine learning. Journal of The Japan Society for Computational Engineering and Science. 2019. Vol.24. No.4. 11-14
  • Oishi Atsuya. 093 An Application of Machine Learning to Isogeometric Analysis. The Computational Mechanics Conference. 2015. 2015. 28. "093-1"-"093-2"
  • Oishi Atsuya. Parallel Isogeometric Analyses with Domain Decomposition. The Computational Mechanics Conference. 2014. 2014. 27. 395-396
  • OISHI Atsuya. 2203 Design of a learning support system for isogeometric analysis. 2014. 2014. 24. "2203-1"-"2203-9"
  • OISHI Atsuya, OKUNO Iori, AMANO Shoji, YOSHIMURA Shinobu. 1303 Hierarchical Contact Search for Isogeometric Analysis. The Computational Mechanics Conference. 2013. 2013. 26. "1303-1"-"1303-2"
more...
Lectures and oral presentations  (83):
  • A new adaptive finite element method using deep learning
    (Proceedings of the 32nd computational mechanics conference 2019)
  • Search for optimal quadrature parameters by evolutionary computation algorithms
    (Proceedings of the Conference on Computational Engineering and Science 2019)
  • A high-precision finite element analysis using deep learning
    (Proceedings of the 31st Computational Mechanics Conference 2018)
  • A classification-based fast quadrature method for element stiffness matrices
    (Proceedings of the Conference on Computational Engineering and Science 2018)
  • On the efficient generation of training data for DL-based optimized quadrature of element matrices
    (Proceedings of the 30th Computational Mechanics Conference 2017)
more...
Education (1):
  • 1982 - Graduated from the Department of Pure and Applied Sciences, College of Arts and Sciences, The University of Tokyo.
Awards (1):
  • 2006/05/08 - The Japan Society for Computational Engineering and Science 日本計算工学会論文賞 局所接触探索への遺伝的プログラミングの適用(第2報:並列分散線形GPによる高速化)
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