Title: Sim2Real Materials Informatics: Overcoming Material Data Poverty with Simulation
Speaker: Yoshihiro Hayashi (Assistant Professor, Center for Materials Informatics Research, Advanced Data Science Division, The Institute of Statistical Mathematics)
Abstract: In recent years, data-driven materials research, called materials informatics (MI), has been rapidly introduced in the field of materials science. On the other hand, the scarcity of experimental data on materials has become a major issue in research and development using MI. In particular, there is practically no systematic database that contributes to data-driven research, although polymeric material systems such as plastics are an industrially important material group. To solve this problem, we are conducting simulation-to-real (Sim2Real) transfer learning, in which simulation data generated by physical property simulations are pre-trained and transferred to experimental data with a limited number of data. In this presentation, I will introduce some practical and empirical examples of Sim2Real transfer learning in MI research and the efforts of an industry-academia consortium to build a database.<\/p>\n\n\n\n
4th July, 2025\uff08Fri,\uff0918:00\uff5e20:00<\/p>\n<\/dd>\n\n\n\n
Held online<\/p>\n<\/dd>\n\n\n\n
Co-organizer (HRAM The Japan Society for Industrial and Applied Mathematics, D-DRIVE National Network)<\/p>\n<\/dd>\n\n\n\n
Free\uff08Advance registration required\uff09<\/p>\n\n\n\n