Quantitative magnetic-moment mapping of a permanent-magnet material by X-ray magnetic circular dichroism nano-spectroscopy

by Tetsuro Ueno, Ai Hashimoto, Yasuo Takeichi, Kanta Ono
Published 2017-05-01

Automated stopping criterion for spectral measurements with active learning

by Tetsuro Ueno, Hideaki Ishibashi, Hideitsu Hino, Kanta Ono
Published 2021-08-01

Magnetization reversal processes of isotropic permanent magnets with various inter-grain exchange interactions

by Hiroshi Tsukahara, Kaoru Iwano, Chiharu Mitsumata, Tadashi Ishikawa, Kanta Ono
Published 2017-05-01

Micromagnetic simulation for the magnetization reversal process of Nd-Fe-B hot-deformed nanocrystalline permanent magnets

by Hiroshi Tsukahara, Kaoru Iwano, Chiharu Mitsumata, Tadashi Ishikawa, Kanta Ono
Published 2017-05-01

Effect of grain boundary phase on the magnetization reversal process of nanocrystalline magnet using large-scale micromagnetic simulation

by Hiroshi Tsukahara, Kaoru Iwano, Chiharu Mitsumata, Tadashi Ishikawa, Kanta Ono
Published 2018-05-01

Symmetry prediction and knowledge discovery from X-ray diffraction patterns using an interpretable machine learning approach

by Yuta Suzuki, Hideitsu Hino, Takafumi Hawai, Kotaro Saito, Masato Kotsugi, Kanta Ono
Published 2020-12-01

Application of Machine Learning Methods to Neutron Transmission Spectroscopic Imaging for Solid–Liquid Phase Fraction Analysis

by Takashi Kamiyama, Kazuma Hirano, Hirotaka Sato, Kanta Ono, Yuta Suzuki, Daisuke Ito, Yasushi Saito
Published 2021-06-01

Large-scale micromagnetics simulations with dipolar interaction using all-to-all communications

by Hiroshi Tsukahara, S.-J. Lee, Kaoru Iwano, Nobuhito Inami, Tadashi Ishikawa, Chiharu Mitsumata, Hideto Yanagihara, Eiji Kita, Kanta Ono
Published 2016-05-01