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.
- Date
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4th July, 2025（Fri,）18:00～20:00
- Venue
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Held online
- Organizer
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Co-organizer (HRAM The Japan Society for Industrial and Applied Mathematics, D-DRIVE National Network)
- Participation Fee
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Free（Advance registration required）
https://www-mmds.sigmath.es.osaka-u.ac.jp/structure/activity/ai_data.php?id=96
- web
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https://www-mmds.sigmath.es.osaka-u.ac.jp/structure/activity/ai_data.php?id=96
- Contact
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Takashi Suzuki
suzuki@sigmath.es.osaka-u.ac.jp