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