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 (7)：

Satoshi Noguchi, Junya Inoue. Bayesian inverse inference of material properties from microstructure images. Computational Materials Science. 2024. 245. 113306-113306
Satoshi Noguchi, Syuji Aihara, Junya Inoue. Microstructure Estimation by Combining Deep Learning and Phase Transformation Model. ISIJ International. 2024. 64. 1. 142-153
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

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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

Lectures and oral presentations (2)：

Computational Electromagnetics from the Viewpoint of Coupling Analysis
(14th World Congress in Computational Mechanics (WCCM) ECCOMAS Congress 2020 2021)
Analysis Method for Dielectric Breakdown Based on Maxwell's Equations
(14th World Congress in Computational Mechanics (WCCM) ECCOMAS Congress 2020 2021)

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 School of Science for Open and Environmental Systems
2014 - 2018 Keio University Faculty of Science and Technology Department of System Design Engineering

Work history (4)：

2024/07 - 現在 Japan Agency for Marine-Earth Science and Technology Researcher
2023/04 - 2024/06 Japan Agency for Marine-Earth Science and Technology Young Reserch Fellow
2022/04 - 2023/03 Japan Society for the Promotion of Science
2020/08 - 2023/03 Japan Agency for Marine-Earth Science and Technology

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