Yu Hirabayashi, Haruka Iga, Hiroki Ogawa, Shinnosuke Tokuta, Yusuke Shimada, Akiyasu Yamamoto. Deep learning for three-dimensional segmentation of electron microscopy images of complex ceramic materials. npj Computational Materials. 2024. 10. 1
Yoshiki Nishiya, Takahiro Hosokawa, Yu Hirabayashi, Haruka Iga, Shinnosuke Tokuta, Yusuke Shimada, Akiyasu Yamamoto. Deep Learning Segmentation of Polycrystalline Superconductors with Different Compositions. IEEJ Transactions on Fundamentals and Materials. 2024. 144. 9. 373-376
Takafumi Hatano, Dongyi Qin, Kazumasa Iida, Hongye Gao, Zimeng Guo, Hikaru Saito, Satoshi Hata, Yusuke Shimada, Michio Naito, Akiyasu Yamamoto. High tolerance of the superconducting current to large grain boundary angles in potassium-doped BaFe2As2. NPG Asia Materials. 2024. 16. 1
Kazumasa Iida, Yoshihiro Yamauchi, Takafumi Hatano, Kai Walter, Bernhard Holzapfel, Jens Hänisch, Zimeng Guo, Hongye Gao, Haoshan Shi, Shinnosuke Tokuta, et al. Structural analysis and transport properties of [010]-tilt grain boundaries in Fe(Se,Te). Science and Technology of Advanced Materials. 2024
Akimitsu Ishii, Akinori Yamanaka, Mizumo Yoshinaga, Shunsuke Sato, Midori Ikeuchi, Hikaru Saito, Satoshi Hata, Akiyasu Yamamoto. High-Fidelity Phase-Field Simulation of Solid-State Sintering Enabled by Bayesian Data Assimilation Using In Situ Electron Tomography Data. Acta Materialia. 2024. 120251-120251
Yusuke Shimada, Akimitsu Ishii, Toshinori Ozaki, Akiyasu Yamamoto. Current Status and Future Perspective of the Utilization of Data Science Methods in the Development of Fabrication Processes for Superconducting Materials. IEEJ Transactions on Fundamentals and Materials. 2024. 144. 9. 360-365
Vortices and Nanostructured Superconductors (Ed. Adrian Crisan)
Springer 2017
超伝導磁束状態の物理 (門脇和男 編)
裳華房 2017
MgB2 Superconducting Wires Basics and Applications (Ed. Rene Flukiger)
World Scientific 2016
講演・口頭発表等 (59件):
Data driven process design & microstructural deep learning of Ba122 materials
(16th European Conference on Applied Superconductivity 2023)
Process machine learning, twinning network graph analysis & record high trapped magnetic field of Ba122 polycrystalline bulk superconductors
(13th International Workshop on Processing and Applications of Superconducting (RE)BCO Materials 2023)
Data driven processing and record trapped field properties of iron-based superconductors
(8th International Conference on Superconductivity and Magnetism 2023)
Process Machine Learning of Iron-based Superconducting Polycrystalline Bulks
(MRS2022 Spring Meeting 2022)
Recent advances in materials science and processing of MgB2 bulks - Celebrating the 20 years’ anniversary of MgB2 superconductor -
(2021)
2018/09 - International Cryogenic Materials Conference The Cryogenic Materials Award for Excellence
2017/04 - 文部科学省 科学技術分野の文部科学大臣表彰 若手科学者賞
2014/05 - 公益社団法人低温工学・超電導学会 奨励賞
2011/01 - Institute of Physics(英国物理学会) Superconductor Science & Technology誌 Collection of 100 highlights in superconductivity - Celebrating 100 years of Superconductivity
2008/05 - 公益社団法人低温工学・超電導学会 優良発表賞
2005/09 - 公益社団法人応用物理学会 講演奨励賞
2005/03 - 東京大学大学院工学系研究科応用化学専攻 藤嶋賞
全件表示
所属学会 (5件):
電気学会
, American Physical Society
, Materials Research Society
, 低温工学・超電導学会
, 応用物理学会