Latest updates, announcements, and achievements.
We are developing a robotics-driven autonomous experiment system for functional materials synthesis (MOFs, nanoparticles). The system integrates robotic arms, electric pipettes, and Bayesian optimization to enable closed-loop AI-guided experimentation, and has reached the proof-of-concept stage.
Our paper on "AI-Driven Materials Mapping" has been published in APL Machine Learning. This work demonstrates the use of machine learning techniques for mapping thermoelectric materials properties.
Read the paper →I will be giving a keynote lecture at the 4th International Symposium on Powder Metallurgy and Materials Development (IMPRES2025) on "Mapping Thermoelectric Materials Using Machine Learning."
Conference website →I have joined the Frontier Research Institute for Interdisciplinary Sciences (FRIS) at Tohoku University as a Specially Appointed Associate Professor.
The AI Terakoya educational video platform has been launched with comprehensive coverage of Materials Informatics, Materials Science, Process Informatics, and Machine Learning topics.
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