鈴木雄太

スズキユウタ | Suzuki Yuta

所属機関・部署：
ホームページURL (1件)： https://resnant.github.io

研究分野 (1件)：応用物性

研究キーワード (6件)：ブラックボックス最適化 , 深層学習 , X線回折 , 知識発見 , 機械学習 , マテリアルズインフォマティクス

競争的資金等の研究課題 (2件)：

論文 (17件)：

Yuta Suzuki, Tatsunori Taniai, Kotaro Saito, Yoshitaka Ushiku, Kanta Ono. Self-supervised learning of materials concepts from crystal structures via deep neural networks. Mach. Learn. Sci. Technol. 2022. 3. 4. 45034-45034
Yusaku Nakajima, Masashi Hamaya, Yuta Suzuki, Takafumi Hawai, Felix von Drigalski, Kazutoshi Tanaka, Yoshitaka Ushiku, Kanta Ono. Robotic Powder Grinding with a Soft Jig for Laboratory Automation in Material Science. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 2022
Naoya Chiba, Yuta Suzuki, Tatsunori Taniai, Ryo Igarashi, Yoshitaka Ushiku, Kotaro Saito, Kanta Ono. Neural Structure Fields with Application to Crystal Structure Autoencoders. CoRR. 2022. abs/2212.13120
Takashi Kamiyama, Kazuma Hirano, Hirotaka Sato, Kanta Ono, Yuta Suzuki, Daisuke Ito, Yasushi Saito. Application of machine learning methods to neutron transmission spectroscopic imaging for solid-liquid phase fraction analysis. Applied Sciences (Switzerland). 2021. 11. 13
Yuta Suzuki, Hideitsu Hino, Takafumi Hawai, Kotaro Saito, Masato Kotsugi, Kanta Ono. Symmetry prediction and knowledge discovery from X-ray diffraction patterns using an interpretable machine learning approach. SCIENTIFIC REPORTS. 2020. 10. 1

MISC (3件)：

鈴木雄太, 鈴木雄太, 尾崎嘉彦, 尾崎嘉彦, 羽合孝文, 斉藤耕太郎, 斉藤耕太郎, 大西正輝, 小野寛太, 小野寛太. ブラックボックス最適化を用いたリートベルト解析の自動化. 日本放射光学会年会・放射光科学合同シンポジウム(Web). 2021. 34th
鈴木雄太, 尾崎嘉彦. ベイズ最適化の応用. 電子情報通信学会技術研究報告(Web). 2021. 120. 395(IBISML2020 34-61)
鈴木雄太, 鈴木雄太, 小野寛太, 小野寛太. 量子ビーム計測データ解析における機械学習の応用. 日本表面真空学会学術講演会要旨集(Web). 2020. 2020

講演・口頭発表等 (6件)：

Automated Lattice Constant Estimation of X-ray Diffraction by Ensemble Learning
(The 5th International Conference on Electronic Materials and Nanotechnology for Green Environment 2018)
Machine Learning-based Crystal Structure Prediction for X-Ray Microdiffraction
(The 14th International Conference on X-Ray Microscopy 2018)
Extraction of Physical Parameters from X-ray Spectromicroscopy Data Using Machine Learning
(The 14th International Conference on X-Ray Microscopy 2018)
Classification of Crystal Structure from X-ray Diffraction Patterns using Machine Learning
(The 13th International Conference on Synchrotron Radiation Instrumentation 2018)
Estimation of Physical Parameters using Dimensionality Reduction of X-Ray Absorption Spectra
(The 13th International Conference on Synchrotron Radiation Instrumentation 2018)

学歴 (3件)：

学位 (1件)：

受賞 (4件)：

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鈴木 雄太