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Methodology, Apparatus, Experimental Design
Feature extraction and spatial imaging of synchrotron radiation X-ray diffraction patterns using unsupervised machine learning
Kentaro Kutsukakea Center for Advanced Intelligence Project, RIKEN, Tokyo, JapanCorrespondence[email protected]
https://orcid.org/0000-0001-7878-347XView further author information
, https://orcid.org/0000-0001-7878-347XView further author information
Takefumi Kamiokab Meiji University, Kawasaki, JapanView further author information
, Kota Matsuic Graduate School of Medicine, Nagoya University, Nagoya, JapanView further author information
, Ichiro Takeuchia Center for Advanced Intelligence Project, RIKEN, Tokyo, Japan;d Graduate School of Engineering, Nagoya University, Nagoya, Japanhttps://orcid.org/0000-0002-1366-1946View further author information
, Takashi Segie Computational Science Department, KOBELCO RESEARCH INSTITUTE, INC, Kobe, JapanView further author information
, Takuo Sasakif Synchrotron Radiation Research Center, National Institutes for Quantum Science and Technology, Hyogo, JapanView further author information
, Seiji Fujikawaf Synchrotron Radiation Research Center, National Institutes for Quantum Science and Technology, Hyogo, JapanView further author information
& Masamitu Takahasif Synchrotron Radiation Research Center, National Institutes for Quantum Science and Technology, Hyogo, JapanView further author information
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Article: 2336402
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Received 04 Oct 2023, Accepted 26 Mar 2024, Published online: 15 Apr 2024
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