Participating Organization: Institute of SCIENECE TOKYO

Participating Organization: Institute of SCIENECE TOKYO

Head of Research and Development

Yoshitaka Tateyama

Professor

Summary of Research and Development

For practical deployment of rechargeable batteries, it is essential not only to improve the performance of electrode and electrolyte materials and optimize structural design across material hierarchies, but also to understand degradation mechanisms that arise during use and to establish control guidelines and reliable lifetime‑prediction methods.

To date, most theoretical studies—such as DFT, MD, and mesoscale chemical‑engineering simulations—as well as data‑driven MI (materials informatics) have focused primarily on performance enhancement, while research on degradation remains insufficient.

Advancing theory and AI‑driven studies that specifically target degradation and developing robust analytical and predictive protocols will strongly support the implementation of next‑generation batteries. By creating computational methods for diverse interfacial reactions and ML‑based lifetime‑prediction models, and applying them to real battery systems, we aim to further advance the science and technology of degradation suppression and long‑life battery design.

Other Teams

• Protocol Development Team
• Advanced LIB Team
• Lithium Air Team
• All Solid State Team
• Elements Strategy Team
• Database Team
• Automated Robotic Experiments Team
• Computational Science Team
• Advanced Characterization Team
• Participating Organization: The University of Tokyo
• Participating Organization: Kyoto University