- 退職
- 2020年3月退職
- 論文・発表
[研究論文] |[書籍] |[会議録] |[口頭発表] |[特許]
研究論文 TSV
2018
- Masayuki Karasuyama, Keiichi Inoue, Ryoko Nakamura, Hideki Kandori, Ichiro Takeuchi. Understanding Colour Tuning Rules and Predicting Absorption Wavelengths of Microbial Rhodopsins by Data-Driven Machine-Learning Approach. Scientific Reports. 8 [1] (2018) 10.1038/s41598-018-33984-w
- Tomohiro Yonezu, Tomoyuki Tamura, Ichiro Takeuchi, Masayuki Karasuyama. Knowledge-transfer-based cost-effective search for interface structures: A case study on fcc-Al [110] tilt grain boundary. Physical Review Materials. 2 [11] (2018) 10.1103/physrevmaterials.2.113802
- Kenta Kanamori, Kazuaki Toyoura, Junya Honda, Kazuki Hattori, Atsuto Seko, Masayuki Karasuyama, Kazuki Shitara, Motoki Shiga, Akihide Kuwabara, Ichiro Takeuchi. Exploring a potential energy surface by machine learning for characterizing atomic transport. Physical Review B. 97 [12] (2018) 10.1103/physrevb.97.125124
2017
- Tomoyuki Tamura, Masayuki Karasuyama, Ryo Kobayashi, Ryuichi Arakawa, Yoshinori Shiihara, Ichiro Takeuchi. Fast and scalable prediction of local energy at grain boundaries: machine-learning based modeling of first-principles calculations. Modelling and Simulation in Materials Science and Engineering. 25 [7] (2017) 075003 10.1088/1361-651x/aa8276
2016
- Kazuaki Toyoura, Daisuke Hirano, Atsuto Seko, Motoki Shiga, Akihide Kuwabara, Masayuki Karasuyama, Kazuki Shitara, Ichiro Takeuchi. Machine-learning-based selective sampling procedure for identifying the low-energy region in a potential energy surface: A case study on proton conduction in oxides. Physical Review B. 93 [5] (2016) 10.1103/physrevb.93.054112
書籍 TSV
会議録 TSV
口頭発表 TSV
2017
- 設樂 一希, Craig A. J. Fisher, 桑原 彰秀, 金森 研太, 烏山 昌幸, 竹内 一郎, 森分 博紀. 網羅的Bond Valence Sum 分布計算による高イオン伝導体探索. 日本セラミックス協会2017年年会. 2017
- 設樂 一希, Craig A. J. Fisher, 桑原 彰秀, 金森 研太, 烏山 昌幸, 竹内 一郎, 森分 博紀. Bond Valence Sumを活用したイオン伝導体の高速スクリーニング. 日本金属学会2017年春期講演大会. 2017