Session Details
[B2-O202]Oral 202
Wed. Dec 10, 2025 2:00 PM - 5:30 PM JST
Wed. Dec 10, 2025 5:00 AM - 8:30 AM UTC
Wed. Dec 10, 2025 5:00 AM - 8:30 AM UTC
Session 9(G320)
Chair:Junya Inoue(The University of Tokyo)
[B2-O202-01]Revealing the role of hydrogen in enhancing both strength and ductility of Type 310S austenitic steel via in situ neutron diffraction
*Tatsuya Ito1, Yuhei Ogawa2, Wu Gong1, Takuro Kawasaki1, Kazuho Okada2, Akinobu Shibata2, Stefanus Harjo1 (1. Japan Atomic Energy Agency (Japan), 2. National Institute for Materials Science (Japan))
[B2-O202-02]GPU-Accelerated Variational Bayesian Inference for Comprehensive and Rapid Crystalline Phase Identification from X-ray diffraction
*Kenji Nagata1, Ryo Murakami1 (1. National Institute for Materials Science (Japan))
[B2-O202-03]Evaluation of the Mechanical Properties of Micro-Powders Using Particle Compression Tests and Machine Learning-Based Inverse Analysis
*Tao Zhang1, Weiwei Zhou1, Naoyuki Nomura1 (1. Tohoku Univ. (Japan))
break
[B2-O202-04]Machine Learning-Based Prediction of AFM Probe Spring Constants Using Classification and Regression Approaches
*Chun-Hung Wang1, De-Wei Chen1 (1. National Cheng Kung Univ. (Taiwan))
[B2-O202-05]Design of an automated autonomous experiment system in structural metallic materials
*Yulin Xie1, Sayaka Sekida1, Goro Miyamoto1, Tadashi Furuhara1 (1. IMR, Tohoku Univ. (Japan))
[B2-O202-06]Automatic High-throughput Process-Structure-Property Dataset Generating System Applied to a γ/γ′ Superalloy
*Thomas Hoefler1, Ayako Ikeda1, Toshio Osada1, Toru Hara1, Kyoko Kawagishi1, Takahito Ohmura1 (1. NIMS (Japan))
[B2-O202-07]Reinforcement Learning in Controlling Quasicrystalline Structure
*Uyen Tu Lieu1, Natsuhiko Yoshinaga1 (1. Future Univ. Hakodate (Japan))