Research field (3)：
Applied physics - general
, Intelligent informatics
, Applied materials
Research keywords (6)：
Black-box optimization
, deep learning
, X-ray diffraction
, Knowledge Discovery
, Machine Learning
, Materials Informatics
Research theme for competitive and other funds (2)：
2019 - 2022 機械学習と材料データベースを活用したハイスループット計測データの自動解析
2018 - 2020 Development of Data Analysis Method for On-the-fly Crystal System Prediction
Papers (21)：
Yuta Suzuki, Tatsunori Taniai, Ryo Igarashi 0002, Kotaro Saito, Naoya Chiba, Yoshitaka Ushiku, Kanta Ono. Contrastive Language-Structure Pre-training Driven by Materials Science Literature. CoRR. 2025. abs/2501.12919
Michiko Yoshitake, Yuta Suzuki, Ryo Igarashi 0002, Yoshitaka Ushiku, Keisuke Nagato. MaterialBENCH: Evaluating College-Level Materials Science Problem-Solving Abilities of Large Language Models. CoRR. 2024. abs/2409.03161
Tatsunori Taniai, Ryo Igarashi 0002, Yuta Suzuki, Naoya Chiba, Kotaro Saito, Yoshitaka Ushiku, Kanta Ono. Crystalformer: Infinitely Connected Attention for Periodic Structure Encoding. CoRR. 2024. abs/2403.11686
Tatsunori Taniai, Ryo Igarashi 0002, Yuta Suzuki, Naoya Chiba, Kotaro Saito, Yoshitaka Ushiku, Kanta Ono. Crystalformer: Infinitely Connected Attention for Periodic Structure Encoding. ICLR. 2024
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
鈴木雄太, 鈴木雄太, 小野寛太, 小野寛太. Machine learning applications for data analysis in quantum beam experiments. 日本表面真空学会学術講演会要旨集(Web). 2020. 2020
Lectures and oral presentations (6)：
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)
2019 - 2022 The Graduate University for Advanced Studies School of High Energy Accelerator Science Department of Materials Structure Science
2017 - 2019 Tokyo University of Science
2013 - 2017 Tokyo University of Science
Professional career (1)：
Doctor of Science (The Graduate University for Advanced Studies)
Awards (4)：
2022/03 - The Graduate University of Advanced Studies SOKENDAI Award Crystal Structure Analysis and Visualization of Materials Space Using Machine Learning
2019/03 - Tokyo University of Science TUS Incentive Award (Mathematics and Physics)
2019/03 - Tokyo University of Science TUS Award 2018
2017/03 - The best poster award Development of Pulsed Laser Deposition Method for Fabrication of Metallic Thin Films
