S
Shigeo Mori
Researcher at Osaka Prefecture University
Publications - 324
Citations - 8419
Shigeo Mori is an academic researcher from Osaka Prefecture University. The author has contributed to research in topics: Ferroelectricity & Charge ordering. The author has an hindex of 34, co-authored 288 publications receiving 7242 citations. Previous affiliations of Shigeo Mori include Aoyama Gakuin University & Waseda University.
Papers
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Transmission Electron Microscopy of Interfaces in Diffusion-Bonded Silicon Carbide Ceramics
TL;DR: In this paper, the microstructures of the phases formed during diffusion bonding were investigated using transmission electron microscopy (TEM) and selected-area diffraction analysis, and the effect of interlayer material and the direction of the SiC fibers in the substrate with respect to the interlayer was evaluated.
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Dielectric Anomaly and Structural Phase Transitions in YFe2O4 − δ
TL;DR: In this paper, structural changes related to the charge ordering (CO) in the temperature window between 100K and room temperature (RT) in YFe2O4 − δ were examined by transmission electron microscopy.
Journal Article
Ferroelectric domains in hexagonal YMnO3
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Unusual inhomogeneous microstructures in charge glass state of PbCrO3
Kosuke Kurushima,Hirofumi Tsukasaki,Takahiro Ogata,Yuki Sakai,Masaki Azuma,Yui Ishii,Shigeo Mori +6 more
TL;DR: In this paper, the microstructures and local structures of perovskite PbCrO3 were investigated by electron diffraction, high-resolution transmission electron microscopy (TEM), and high-angle annular dark-field scanning transmission electron microscope (HAADF-STEM), which revealed that the charge glass state is characterized by the unique coexistence of the crystalline state with a cubic symmetry on average and the noncrystalline state.
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Double-Slit Electron Interference Experiment with Zero Propagation Distance Using Electron Biprism
Ken Harada,Tetsuji Kodama,Tetsuya Akashi,Yoshio Takahashi,Keiko Shimada,Yoshimasa A. Ono,Daisuke Shindo,Hiroyuki Shinada,Shigeo Mori +8 more
TL;DR: In this paper, the authors proposed a method to solve the problem of Quantum Quantum Physics (QP) and applied it in the field of computer vision and artificial intelligence (AI).