KOBAYASHI Masato
Associate Professor
Elucidating molecules and reactions with computational chemistry and data science
Department of Chemistry, Physical Chemistry
| Theme | Development of accurate electronic structure methods for large molecules / Reaction analysis and prediction with data science |
| Field | Theoretical Chemistry, Quantum Chemistry, Electronic Structure Theory, Computational Chemistry, Data Science |
| Keyword | Large-Scale Calculation, Electron Correlation, Massively Parallel Computation, Supercomputer Fugaku, Divide-and-Conquer Method, Catalyst Informatics, Quantum Molecular Dynamics, Water electrolysis, Deuterium |
Introduction of Research
Our goal is to predict structure, properties, and reactions of materials with computer.
Every material consists of electrons and nuclei. Very small substance such as electron behaves according to "quantum mechanics." If we can solve the Schroedinger equation, which is the basic equation of the quantum mechanics, on computers, we can achieve our goal! But, it is not so easy. The number of electrons tructable in a calculation is limited because even the simplest method requires the computational time proportional to the 3rd power of the number of electrons. We are tackling to the prediction of the behavior of huge molecules (over 1 million atom in some cases) by using the divide-and-conquer (DC) method, which is an advanced computational technique, and massively parallel computers like Fugaku computer.
It is, however, still difficult to describe the real chemical world involving Avogadro number atoms. So, we are importing "informatics" and/or "artificial intelligence" and are trying to elucidate and predict the catalytic reaction mechanisms and efficiency.
Representative Achievements
M. Tsurui, R. Takizawa, Y. Kitagawa, M. Wang, M. Kobayashi, T. Taketsugu, and Y. Hasegawa, Angew. Chem. Int. Ed., 2024, 63, e202405584. (Back Cover Article)
Y. Nagahata, M. Kobayashi, M. Toda, S. Maeda, T. Taketsugu, and T. Komatsuzaki, Proc. Natl. Acad. Sci., 2024, 121, e2317781121.
B. Murayama, M. Kobayashi, M. Aoki, S. Ishibashi, T. Saito, T. Nakamura, H. Teramoto, and T. Taketsugu, J. Chem. Theory Comput., 2023, 19, 5007-5023.
H. Nakai, M. Kobayashi, T. Yoshikawa, J. Seino, Y. Ikabata, and Y. Nishimura, J. Phys. Chem. A, 2023, 127, 589-618.
M. Kobayashi, M. Harada, H. Takakura, K. Ando, Y. Goto, T. Tsuneda, M. Ogawa, and T. Taketsugu, ChemPlusChem, 2020, 85, 1959-1963. (Front Cover Article)
Related industries
| Academic degree | Ph.D. in Science |
| Academic background | 2003 B.S. (Waseda University) 2004 M.S. (Waseda University) 2007 Ph.D. in Science (Waseda University) 2006-2008 JSPS Fellow 2008-2012 Visiting Lecturer, Waseda University 2012-2014 Assistant Prof., Waseda Institute for Advanced Study 2014-2017 Assistant Prof., Hokkaido University 2017-2020 Lecturer, Hokkaido University 2020- Associate Prof., Hokkaido University |
| Affiliated academic society | Japan Society of Theoretical Chemistry, Japan Society of Molecular Science, Society of Computer Chemistry, Japan, The Chemical Society of Japan, Catalysis Society of Japan |
| Project | PRESTO-JST "Materials Informatics" DX-GEM GteX-WInG |
| Room address | Science Building 7 7-504 |
