Kan Hatakeyama‐Sato
Tokyo Institute of Technology, RIKEN Center for Biosystems Dynamics Research
Papers
2
Total Citations
9
H-Index
2
About
Kan Hatakeyama‐Sato is a pioneering researcher at the intersection of materials chemistry and artificial intelligence, driving a paradigm shift toward autonomous laboratories. His core research integrates polymer synthesis, robotic automation, and foundation models—including large language models—to create semiautomated experimental workflows. In his highly cited 2024 work (7 citations), he introduced a groundbreaking system that combines a custom liquid-handling device and robotic arm with multimodal AI to synthesize polyamic acid particles, enabling continuous, objective monitoring and documentation. This work exemplifies his major contribution: embedding high-level cognitive capabilities—experimental planning, real-time data analysis, and decision-making—directly into laboratory hardware. His 2025 perspective article (2 citations) further articulates a visionary roadmap for foundation models in materials research, positioning them as dual cognitive and operational agents. By bridging the gap between human intuition and machine precision, Hatakeyama‐Sato is not only accelerating materials discovery but also redefining the role of AI in scientific inquiry. His work stands as a critical step toward fully autonomous, intelligent laboratories.
Research Focus
Key Achievements
Top Papers
- 1
- 2