Session Details

[9a-E310-1~11]18.3 Measurement Informatics

Wed. Sep 9, 2026 9:00 AM - 12:00 PM JST
Wed. Sep 9, 2026 12:00 AM - 3:00 AM UTC
E310 (First Year Education Bld. E Block)

[9a-E310-1]Magnetic Patterns Classifications Based on Vector Field Sensing and Deep Neural Networks

〇Takahide Kubota1, Takayuki Hojo1, Kosuke Fujiwara2, Motoki Endo1, Hayato Fukushima2, Takashi Yoshidome1, Hitoshi Matsuzaki2, Ikuro Yamane3, Junichi Jinno3, Koji Onishi3, Mikihiko Oogane1, Yasuo Ando1 (1.GSE, Tohoku Univ., 2.Spin Sensing Factory, 3.Otsuka Pharmaceutical)

[9a-E310-2]Classification of Magnetization Patterns Using a PointNet on 3D Point Cloud Data Transformed into Magnetic Field Vector Space

〇Takayuki Hojo1, Takahide Kubota1, Kosuke Fujiwara2, Motoki Endo1, Hayato Fukushima2, Takashi Yoshidome1, Hitoshi Matsuzaki2, Ikuro Yamane3, Jun-ichi Jinno3, Koji Onishi3, Mikihiko Oogane1, Yasuo Ando1 (1.Tohoku Univ., 2.Spin Sensing Factory Inc., 3.Otsuka Pharmaceutical Co. Ltd.)

[9a-E310-3]Machine learning-based estimation of magnetic parameters from inhomogeneous magnetic domain images

〇Shu Hashimoto1, Yoshinobu Nakatani2, Hiroyuki Awano1, Kenji Tanabe1 (1.Toyota Tech. Inst., 2.UEC)

[9a-E310-4]Autonomous Scanning Probe Microscopy via Integration of Domain-Specialized Small Language Models and AI Measurement Tools

Zhuo Diao1, Kouma Matsumoto1, Linfeng Hou1, Masahiro Ohara1, Hayato Yamashita2, 〇Masayuki Abe1 (1.Osaka Univ., 2.Shizuoka Univ.)

[9a-E310-5]Sequential Bayesian Experimental Design for Nuclear Spin-Lattice Relaxation Measurements

〇(D)Tomohiro Nabika1, Takuto Fujii2, Tomoki Nishikawa2, Yusuke Nakai2, Takeshi Mito2, Masato Okada1 (1.Univ. of Tokyo, 2.Univ. of Hyogo)

[9a-E310-6]Reconstruction of Plasma Velocity-distribution-function in High-Noise Environments Using Multi-Resolution Data Integration

〇Soma Onishi1, Kobayashi Tatsuya2, Hoshi Takeo2, Aonishi Toru1 (1.Grad. Sch. of Front. Sci. Univ. Tokyo, 2.NIFS)

[9a-E310-7]GPU-Accelerated Monte Carlo for Bayesian Spectral Analysis

〇Tomohiro Nabika1, Yui Hayashi1, Masato Okada2 (1.a.s.ist Inc., 2.Univ. of Tokyo)

[9a-E310-8]Phase Retrieval and Uncertainty Estimation from Transmission Electron Microscope Images Based on Poisson Statistical Likelihood and MALA

〇(M1C)Yuta Yokota1, Kiyou Shibata2, Koh Saitoh2 (1.Nagoya Univ., 2.IMaSS, Nagoya Univ.)

[9a-E310-9]Evaluation of the generalization capability of real-time SPM image denoising AI

〇ZHUO DIAO1, Taisei Noji1, Masahiro Ohara1, Masayuki Abe1 (1.Osaka Univ.)

[9a-E310-10]A Study on an Accuracy Validation Method for Non-Rigid Registration between APT Data and STEM Tomography Data Using Atomic-Scale Simulated Datasets II

〇(M2)Akito Mie1, Yugant Gotmare1, Kazunori Iwamitsu1, Yoshito Otake1, Zentaro Akase1, Shigetaka Tomiya1 (1.NAIST)

[9a-E310-11]Topological Data Analysis of Stress-Induced Ferroelectricity in SrTiO3

〇Hirotaka Manaka1, Kazuma Seike1, Yoko Miura2 (1.Kagoshima Univ., 2.NIT, Suzuka Col.)