When using PHYSBO, please cite the following reference:

Yuichi Motoyama, Ryo Tamura, Kazuyoshi Yoshimi, Kei Terayama, Tsuyoshi Ueno, and Koji Tsuda, Bayesian optimization package: PHYSBO, Computer Physics Communications 278, 108405 (2022). Available from


When using BLOX, please cite the following reference:

Kei Terayama, Masato Sumita, Ryo Tamura, Daniel T. Payne, Mandeep K. Chahal, Shinsuke Ishihara, and Koji Tsuda, Pushing property limits in materials discovery via boundless objective-free exploration, Chemical Science 11, 5959-5968 (2020). Available from


When using PDC, please cite the following reference:

Kei Terayama, Ryo Tamura, Yoshitaro Nose, Hidenori Hiramatsu, Hideo Hosono, Yasushi Okuno, and Koji Tsuda, Efficient construction method for phase diagrams using uncertainty sampling, Physical Review Materials 3, 033802 (2019). Available from

Ryo Tamura, Guillaume Deffrennes, Kwangsik Han, Taichi Abe, Haruhiko Morito, Yasuyuki Nakamura, Masanobu Naito, Ryoji Katsube, Yoshitaro Nose, and Kei Terayama, Machine-learning-based phase diagram construction for high-throughput batch experiments, Science and Technology of Advanced Materials: Methods 2, 153-161 (2022). Available from


When using NAREE, please cite the following reference:

Shoichi Matsuda, Kiho Nishioka, and Shuji Nakanishi, High-throughput combinatorial screening of multi-component electrolyte additives to improve the performance of Li metal secondary batteries, Scientific Reports. 9, 6211 (2019). Available from

Shoichi Matsuda, Guillaume Lambard, and Keitaro Sodeyama, Data-driven automated robotic experiments accelerate discovery of multi-component electrolyte for rechargeable Li-O2 batteries, Cell Reports Physical Science 3, 100832 (2022). Available from