Session Details
[8a-N102-1~11]18.3 Measurement Informatics
Tue. Sep 8, 2026 9:00 AM - 12:00 PM JST
Tue. Sep 8, 2026 12:00 AM - 3:00 AM UTC
Tue. Sep 8, 2026 12:00 AM - 3:00 AM UTC
N102 (First Year Education Bld. N Block)
[8a-N102-1]Real-Time Surface Temperature Distribution Measurement of Silicon Wafers Using Deep Learning-Assisted Optical Interferometric Contactless Thermometry (OICT)
〇Jiawen Yu1, Harumu Ono1, Hiroaki Hanafusa1, Seiichiro Higashi1 (1.Hiroshima Univ.)
[8a-N102-2]Practical estimation of a dual-sided reference flatness surface from single-sided wafer measurements
〇Masaki Takaishi1, Yu Fujimura1, Kevin Operiano1, Susumu Maeda1, Takao Sawada2, Satoshi Kuwabara2 (1.Aixtal, 2.Kohzu Precision)
[8a-N102-3]Deep Learning Analysis of Semiconductor Optical Properties: Potential Comparison between Spectroscopic Ellipsometry and Reflectance-Transmittance Measurements
〇Naoki Kurokawa1, Akihiro Baba1, Jiro Nishinaga2, Shogo Ishizuka2, Takashi Koida2, James Hilfiker3, Hiroyuki Fujiwara1 (1.Gifu Univ., 2.AIST, 3.J.A. Woollam Co., Inc.)
[8a-N102-4]Transfer Learning for Deep Learning Ellipsometry: Rapid Automated Analysis of
Optical Constants and Thin-Film Structures on Different Substrate Materials
〇Yuki Ikarashi1, Yuki Yamamoto1, Ren Iwayama1, Naoki Kurokawa1, Akihiro Baba1, Jiro Nishinaga2, Shogo Ishizuka2, James Hilfiker3, Hiroyuki Fujiwara1 (1.Gifu Univ., 2.AIST, 3.J.A. Woollam Co., Inc.)
[8a-N102-5]Bayesian Spectroscopic Ellipsometry for Oxide Multilayer Analysis
Rogie Madula1, 〇Kazunori Iwamitsu1, Takanori Takahashi1, Zentaro Akase1, Yukiharu Uraoka1, Shigetaka Tomiya1 (1.NAIST)
[8a-N102-6]Automated Analysis in Spectroscopic Ellipsometry Using Large Language Model
〇Hitoshi Nakatani1 (1.HORIBA, Ltd.)
[8a-N102-7]Application of the XAS system using a high-brightness X-ray source
〇Tomomi Ogaki1 (1.Canon MJ)
[8a-N102-8]Molecular Structure Prediction from XAFS Spectra Using Machine Learning and Model Adaptation with Experimental Data
〇(D)Yu Fujikata1,2, Teruyasu Mizoguchi1 (1.Sch. of Eng., UTokyo, 2.Mitsubishi Chemical Corporation)
[8a-N102-9]Prototype-based Phase Identification from Powder X-ray Diffraction Measurement Data
〇Yusei Ito1,2, Yuki Nishihori1,2, Kanta Ono1,2 (1.Osaka Univ., 2.OTRI)
[8a-N102-10]Geometric Stability as a Reliability Criterion for AI-Assisted Spectroscopic Inference: From Mössbauer Spectroscopy to Geometric Identifiability Theory
〇Sonia Sharmin1, Chiharu Mitsumata1, Eiji Kita1, Hideto Yanagihara1 (1.Appl. Phys., Sci. & Eng., Univ. Tsukuba)
[8a-N102-11]Feature extraction from volcanic gas monitoring data Using semiconductor gas sensors by principal component analysis
〇Komei Yamada1, Takeshi Hashishin2, Kazuhiro Kobayashi3 (1.GSST, Kumamoto Univ., 2.FAST, Kumamoto Univ., 3.Kumamoto Prefectural College of Technology)
