Koji Tsuda1
1University of Tokyo
It is increasingly common that machine learning is used together with experiments and simulations to discover new materials. Target materials include inorganic materials such as metals, ceramics and nanoparticles and organic molecules for drugs and photovoltaics. In this talk, I will introduce case studies of materials design for thermal emitters, fluorescent molecules, fluorescent proteins and antimicrobial peptides. I will also discuss about interpretable issues in materials design and automated experiments using robots.