Researcher Information
researchmap URL
Research History
- Apr. 2025 - Present
RIKEN, Center for Advanced Intelligence Project, Postdoctoral Researcher - Jul. 2024 - Present
Japan Agency for Marine-Earth Science and Technology, Researcher - Apr. 2023 - Jun. 2024
Japan Agency for Marine-Earth Science and Technology, Young Reserch Fellow - Apr. 2022 - Mar. 2023
Japan Society for the Promotion of Science, 特別研究員DC2 - Aug. 2020 - Mar. 2023
Japan Agency for Marine-Earth Science and Technology, 臨時研究補助員
Education
- Apr. 2020 - Mar. 2023, The University of Tokyo, The Graduate School of Engineering, Department of Advanced Interdisciplinary Studies
- Apr. 2018 - Mar. 2020, Keio University, Graduate School of Science and Technology, School of Science for Open and Environmental Systems
- Apr. 2014 - Mar. 2018, Keio University, Faculty of Science and Technology, Department of System Design Engineering
Research activity information
Papers
- Satoshi Noguchi; Yoshinobu Kawahara
Wavy Transformer
Advances in Neural Information Processing Systems 38 (NeurIPS'25), 18 Aug. 2025
(Accepted)
[Reviewed]
Lead - Satoshi Noguchi; Junya Inoue
Bayesian inverse inference of material properties from microstructure images
Computational Materials Science, Oct. 2024
245, 113306, 113306
[Reviewed]
Lead - Satoshi Noguchi; Syuji Aihara; Junya Inoue
Microstructure Estimation by Combining Deep Learning and Phase Transformation Model
ISIJ International, 15 Jan. 2024
64, 1, 142, 153
[Reviewed]
Lead - Noguchi Satoshi; Aihara Syuji; Inoue Junya
Microstructure Estimation by Combining Deep Learning and Phase Transformation Model
Tetsu-to-Hagane, 01 Nov. 2023
109, 11, 898, 914
[Reviewed]
Lead - Satoshi Noguchi; Junya Inoue
Exploration of Chemical Space Guided by PixelCNN for Fragment-Based De Novo Drug Discovery
Journal of Chemical Information and Modeling, 12 Dec. 2022
[Reviewed]
Lead - Satoshi Noguchi; Hui Wang; Junya Inoue
Identification of microstructures critically affecting material properties using machine learning framework based on metallurgists’ thinking process
Scientific Reports, 20 Aug. 2022
12, 1
[Reviewed]
Lead - 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, 09 Aug. 2021
104, 2
[Reviewed]
Lead - Satoshi Noguchi; Misumi Nakamichi; Kenji Oguni
Proposal of finite element analysis method for dielectric breakdown based on Maxwell’s equations
Computer Methods in Applied Mechanics and Engineering, 01 Nov. 2020
371, 1, 113295, 113295
[Reviewed]
Lead, Corresponding
Misc.
- 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
[Reviewed]
Lead - 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
[Reviewed]
Lead
Presentations
- Satoshi Noguchi, Kenji Oguni
Computational Electromagnetics from the Viewpoint of Coupling Analysis
14th World Congress in Computational Mechanics (WCCM) ECCOMAS Congress 2020, 11 Jan. 2021 - Misumi Nakamichi, Satoshi Noguchi, Kenji Oguni
Analysis Method for Dielectric Breakdown Based on Maxwell's Equations
14th World Congress in Computational Mechanics (WCCM) ECCOMAS Congress 2020, 11 Jan. 2021
