Session Details

Data Science Applied to Materials Development

Wed. May 27, 2026 1:10 PM - 2:35 PM JST
Wed. May 27, 2026 4:10 AM - 5:35 AM UTC
Room III(Conference Room 3)

[3-17]Invited Talk : Data-Driven Autonomous Experimentation for Powder Process Optimization 《 Evaluation Technology 》

*Kanta Ono1 (1. The University of Osaka)

[3-18]Invited Talk : Utilization of machine learning/data science in metal additive manufacturing 《 Computational Science, Additive Manufacturing 》

*Asuka SUZUKI1, Makoto KOBASHI1 (1. Graduate School of Engineering, Nagoya University, Tokai National Higher Education and Research System)

[3-19A]Inverse Analysis of Mechanical Constitutive Properties of Metallic Powder via Particle Compression Test and FEM simulation 《 Evaluation Technology, Computational Science 》

*Tao ZHANG1, Mingqi DONG1, Weiwei ZHOU1, Naoyuki NOMURA1 (1. Tohoku University)

[3-20A]In situ structural analysis of grain growth during the zirconia manufacturing process 《 Microstructure Control 》

*Hikaru Hirabaru Hirabaru1, Yoshinori Kobayashi1 (1. Nippon denko Co.,Ltd.)

[3-21A]Understanding Process–Property Relationships in Electrically Heated Powder Rolling of Nd-Fe-B Plate Magnets via Data-Driven Correlation Analysis 《 Sintering, Physical Property, Data-driven correlation analysis. 》

*Jungryang KIM1, Wataru YAMAGUCHI1, Yusuke HIRAYAMA1, Satoshi SUGIMOTO1,2, Mayaka NOZAKI3, Ayako S. SUZUKI3 (1. National Institute of Advanced Industrial Science and Technology (AIST), 2. Tohoku University, 3. S. S. Alloy Co., Ltd.)