Associate Professor KANEKO Hiromasa (left) and TAKAOKA Sho
TAKAOKA Sho, a second-year doctoral student in Applied Chemistry Program at the Graduate School of Science and Technology (KANEKO Hiromasa DCE Laboratory), won the Outstanding Presentation Award at the 55th Autumn Meeting of the Society of Chemical Engineers, Japan held at Hokkaido University.
Catalyst design using machine learning has been attracting attention in order to shorten development time and reduce costs for various catalysts. In this research, in order to develop high-performance catalysts for Suzuki-Miyaura-type cross-coupling reaction using polymeric nickel catalysts, a machine learning model was constructed to predict the yield before the experiment. Furthermore, a combination of a new polymeric nickel catalyst and experimental conditions was proposed using the constructed model. The proposed candidates were experimentally verified to have high catalytic performance. The above research content and poster presentation were evaluated, and TAKAOKA received the Outstanding Presentation Award.
Winner: TAKAOKA Sho (a second-year doctoral student; KANEKO Hiromasa DCE Laboratory)
Award Name: Outstanding Presentation Award
Name of Society: The 55th Autumn Meeting of the Society of Chemical Engineers, Japan
Date: Wednesday, September 11, 2024 to Friday, September 13, 2024
Presentation title: Development of a yield prediction model for Suzuki-Miyaura-type cross-coupling reaction using polymeric nickel catalyst by machine learning and proposal of a new polymeric nickel catalyst
Presenters: 〇TAKAOKA Sho, Zhenzhong Zhang, YAMADA Yoichi, KANEKO Hiromasa