- Address
- 305-0044 1-1 Namiki Tsukuba Ibaraki JAPAN [Access]
Research
- Keywords
統計力学，機械学習，磁気冷凍
PublicationsNIMS affiliated publications since 2004.
Research papers
- Ryo Tamura, Toshio Osada, Kazumi Minagawa, Takuma Kohata, Masashi Hirosawa, Koji Tsuda, Kyoko Kawagishi. Machine learning-driven optimization in powder manufacturing of Ni-Co based superalloy. Materials & Design. 198 (2021) 109290 10.1016/j.matdes.2020.109290
- Koki Kitai, Jiang Guo, Shenghong Ju, Shu Tanaka, Koji Tsuda, Junichiro Shiomi, Ryo Tamura. Designing metamaterials with quantum annealing and factorization machines. Physical Review Research. 2 [1] (2020) 013319 10.1103/physrevresearch.2.013319
- Masato Sumita, Xiufeng Yang, Shinsuke Ishihara, Ryo Tamura, Koji Tsuda. Hunting for Organic Molecules with Artificial Intelligence: Molecules Optimized for Desired Excitation Energies. ACS Central Science. 4 [9] (2018) 1126-1133 10.1021/acscentsci.8b00213
Books
- Shu Tanaka, TAMURA, Ryo, Bikas K. Chakrabarti. QUANTUM SPIN GLASSES, ANNEALING AND COMPUTATION. , 2017, 3-379.
- Shu Tanaka, TAMURA, Ryo. Quantum annealing: from viewpoints of statistical physics, condensed matter physics, and computational physics. KINKI UNIVERSITY SERIES ON QUANTUM COMPUTING (Edited by Mikio Nakahara). , 2012, 3-59.
Proceedings
- R Arai, R Tamura, H Fukuda, J Li, A T Saito, S Kaji, H Nakagome, T Numazawa. Estimation of magnetocaloric properties by using Monte Carlo method for AMRR cycle. IOP Conf. Series: Materials Science and Engineering. (2015) 012118-1-012118-8 10.1088/1757-899x/101/1/012118
- RYO TAMURA, SHU TANAKA. A METHOD TO CHANGE PHASE TRANSITION NATURE– TOWARD ANNEALING METHODS –. Kinki University Series on Quantum Computing. (2014) 10.1142/9789814602372_0009
- SHU TANAKA, RYO TAMURA, HOSHO KATSURA. ENTANGLEMENT PROPERTIES OF A QUANTUM LATTICE-GAS MODEL ON SQUARE AND TRIANGULAR LADDERS. Physics, Mathematics, and All that Quantum Jazz. (2014) 10.1142/9789814602372_0005
Presentations
- TAMURA, Ryo. Data-driven methods for automated materials discovery. 第43回 コンピュテーショナル・マテリアルズ・デザイン（CMD®）ワークショップ. 2023
- 田村 亮. 量子アニーリングを用いたブラックボックス最適化によるメタマテリアル開発. 2023年 第48回 光学シンポジウム. 2023
- LU, Anh Khoa Augustin, LIN, Jianbo, TAMURA, Ryo, 二村 保徳, 櫻井鉄也, MIYAZAKI, Tsuyoshi. Structural properties of silica studied by locally-averaged atomic fingerprints: phase differentiation and applications. 788. WE-Heraeus-Seminar: Beyond Imperfections: New Structure-Property Relationships in Ceramics and Glasses. 2023
Misc
- 柴 弘太, 田村 亮. ニオイのデータ駆動型解析 – MSS、機能性ナノ粒子、機械学習による定量予測 –. におい・かおり環境学会誌. [5] (2018) 305-314
- 田村 亮. 量子アニーリングを用いたマテリアルズ・ インフォマティクス手法と実用化への課題. 研究開発リーダー. (2020) 8-11
- 田村 亮, 長田 俊郎, 皆川 和己, 小幡 卓眞, 廣澤 正志, 津田 宏治, 川岸 京子. 機械学習による超合金粉末製造プロセス最適化. 季刊「溶射技術」. (2021) 56-62
Patents
- No: CN109923397 試料に対応付けられたパラメータ値を推定する方法及び装置 (2019)
- No: EP3550284 試料に対応付けられた推定対象値を推定する方法及び装置 (2019)
- No: WO2018101128 試料に対応付けられたパラメータ値を推定する方法及び装置 (2018)