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.

CREST研究で開発した実用的相対論的量子化学計算プログラムRAQETの解説論文がJ. Comput. Chem.に掲載されました。

“RAQET: Large‐Scale Two‐Component Relativistic Quantum Chemistry Program Package”
Masao Hayami Junji Seino Yuya Nakajima Masahiko Nakano Yasuhiro Ikabata Takeshi YoshA review paper on RAQET, a practical relativistic quantum chemistry calculation program developed in CREST research was published in J. Comput. Chem.

An international co-authored paper on positron annihilation spectra by the NOMO method was published in J. Chem. Phys.

An international co-authored paper on positron annihilation spectra by the NOMO method was published in J. Chem. Phys.

“Quantum chemical approach for positron annihilation spectra of atoms and molecules beyond plane-wave approximation”
Y. Ikabata, R. Aiba, T. Iwanade, H. Nishizawa, F. Wang, H. Nakai, J. Chem. Phys. in press (2018).