The paper of “experimental condition optimization by machine learning” jointly conducted with Prof. Takeaki Iwamoto laboratory (Tohoku University) was elected as Editor’s Choice of Chem. Lett.

The paper of “experimental condition optimization by machine learning” jointly conducted with Prof. Takeaki Iwamoto laboratory (Tohoku University) was elected as Editor’s Choice of Chem. Lett.

“Virtual reaction condition optimization based on machine learning for a small number of experiments in high-dimensional continuous and categorical variables”
M. Fujinami, J. Seino, T. Nukazawa, S. Ishida, T. Iwamoto, H. Nakai, Chem. Lett., in press (2019). (Editor’s Choice)

A review paper on RAQET, a practical relativistic quantum chemistry calculation program developed in CREST research was published in J. Comput. Chem.

A review paper on RAQET, a practical relativistic quantum chemistry calculation program developed in CREST research was published in J. Comput. Chem.

“RAQET: Large‐Scale Two‐Component Relativistic Quantum Chemistry Program Package”
Masao Hayami Junji Seino Yuya Nakajima Masahiko Nakano Yasuhiro Ikabata Takeshi Yoshikawa Takuro Oyama Kenta Hiraga So Hirata Hiromi Nakai, J. Comput. Chem.