publication_type publication_year number author title journal_title volume_number issue_number start_page end_page doi reported_at Paper 2018 1 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 https://doi.org/10.1038/s41598-018-33984-w 2021-01-18 04:23:08 +0900 Paper 2018 2 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 https://doi.org/10.1103/physrevmaterials.2.113802 2021-01-18 04:23:08 +0900 Paper 2018 3 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 https://doi.org/10.1103/physrevb.97.125124 2021-01-18 04:23:08 +0900 Paper 2017 1 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 075003 https://doi.org/10.1088/1361-651x/aa8276 2021-01-18 04:23:08 +0900 Paper 2016 1 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 https://doi.org/10.1103/physrevb.93.054112 2021-01-18 04:23:08 +0900