Tomoyuki Miyao

About

Tomoyuki Miyao is an Associate Professor at the Nara Institute of Science and Technology (NAIST) in Japan. His research areas focus on machine learning applications in chemistry, including property prediction models, yield prediction of chemical reactions, and virtual screening techniques. Recent publications explore innovative approaches such as electrochemical microflow systems, descriptor databases for copolymers, and the development of heat-resistant materials.