Rchr
J-GLOBAL ID:202401000704311104   Update date: Jun. 26, 2024

Noguchi Satoshi

ノグチ サトシ | Noguchi Satoshi
Affiliation and department:
Research theme for competitive and other funds  (3):
  • 2024 - 2028 Granular numerical rock-box experiments for understanding the unified system of structural development and earthquakes
  • 2023 - 2025 溶媒分子の連続体近似と粒子-電磁界連成解析の統合による分子動力学法の革新
  • 2023 - 2024 構造材料の材料設計・プロセス最適化のための新たな逆解析手法の確立
Papers (6):
  • Satoshi Noguchi, Syuji Aihara, Junya Inoue. Microstructure Estimation by Combining Deep Learning and Phase Transformation Model. ISIJ International. 2024
  • Noguchi Satoshi, Aihara Syuji, Inoue Junya. Microstructure Estimation by Combining Deep Learning and Phase Transformation Model. Tetsu-to-Hagane. 2023. 109. 11. 898-914
  • Satoshi Noguchi, Junya Inoue. Exploration of Chemical Space Guided by PixelCNN for Fragment-Based De Novo Drug Discovery. Journal of Chemical Information and Modeling. 2022
  • Satoshi Noguchi, Hui Wang, Junya Inoue. Identification of microstructures critically affecting material properties using machine learning framework based on metallurgists’ thinking process. Scientific Reports. 2022. 12. 1
  • Satoshi Noguchi, Junya Inoue. Stochastic characterization and reconstruction of material microstructures for establishment of process-structure-property linkage using the deep generative model. Physical Review E. 2021. 104. 2
more...
MISC (5):
  • Noguchi Satoshi, Wang Hui, Inoue Junya. Application of Deep Learning in Materials Design: Extraction of Process-Structure-Property Relationship. Ouyou toukeigaku. 2023. 52. 2. 75-98
  • 野口聖史, 井上純哉. 深層学習と相変態モデルの融合による組織画像の推定. 日本金属学会講演大会(Web). 2022. 171st
  • 野口聖史, 井上純哉. 深層学習による確率的不均一性も含め予測可能な材料組織推定法の提案. 日本金属学会講演大会(Web). 2021. 169th
  • NOGUCHI Satoshi, OGUNI Kenji. The computational algorithm and numerical analysis of the signed diagonal Hodge star operator. Transactions of the JSME (in Japanese). 2019. 85. 874. 19-00099-19-00099
  • 野口聖史, 廣部紗也子, 小國健二. 時間と空間における双対性を考慮した電磁界解析手法の提案. 日本応用数理学会年会講演予稿集(CD-ROM). 2017. 2017
Education (3):
  • 2020 - 2023 The University of Tokyo The Graduate School of Engineering Department of Advanced Interdisciplinary Studies
  • 2018 - 2020 Keio University Graduate School of Science and Technology
  • 2014 - 2018 Keio University Faculty of Science and Technology Department of System Design Engineering
Work history (2):
  • 2024/07 - 現在 Japan Agency for Marine-Earth Science and Technology
  • 2023/04 - 2024/06 Japan Agency for Marine-Earth Science and Technology
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