S. Hata,
"ADF-STEM observation of {1 1/2 0} type SRO in Ni4Mo",
DAE-BRNS International Conference on Advances in Materials Science (ADAMS-22),
Mumbai, India
S. Hata,
"Toward 3D visualization of dislocation dynamics under deformation using transmission electron microscopy",
TimeMan Seminar, Université de Lille, France
S. Hata,
"Toward 3D visualization of dislocation dynamics by electron tomography",
GIFT seminar, POSTECH, Korea
2021.12.13
Conference
Z. Guo, H. Gao, K. Kondo, T. Hatano, K. Iida,
J. Hänisch, H. Ikuta and S. Hata,
"Nanoscale crystal orientation analysis of highly textured NdFeAs(O,F) films for high-field magnet application",
Materials Research Meeting 2021
2021.11.26
Award
Y.M. Ma, S. Hata,
"A framework for stereo reconstruction in scanning electron microscopy",
日本顕微鏡学会第64回シンポジウムにて優秀口頭発表賞を受賞。
K. Iida, K. Kondo, M. Chen, T. Hatano, C. Wang,
H. Saito, S. Hata, H. Ikuta,
"Superconducting properties of heavily electron doped NdFeAsO epitaxial thin films",
30th Annual Meeting of MRS-J (International Symposium)
2020.12.2
Invited talk
S. Hata, H. Saito, M. Murayama,
"In-situ 3D imaging in transmission electron microscopy: recent developments and applications to material deformation",
SNSA20
Z. Guo et al.,
"Nanoscale crystal orientation analysis of a textured NdFeAs(O,F) superconducting thin film on a technical substrate",
The 21st Cross Straits Symposium on Energy and Environmental Science and Technology
2019.11.2
Invited talk
S. Hata,
"Development of 3D Electron Microscopy Methods for Crystalline Materials",
The 3rd International Symposium on Advanced Structural Materials
インドネシア ムハマディア大学ジョグジャカルタ校より
Sukamta Hadi Wiyatna副学長ならびにHarini Sosiati博士が来訪されました。
2018.8.21
Invited talk
S. Hata,
"Development of electron tomography observation methods for deformed materials: from static to dynamic 3D imaging",
12th Japanese-Polish Joint Seminar on Micro and Nano Analysis
S. Hata,
"Advances in experimental techniques for 3D dislocation image acquisition using electron microscopy",
The 3rd International Congress on 3D Materials Science 2016