Digital Discovery

Discovering the materials needed for cleaner energy technologies has long been a slow process - but AI could change that. Researchers at Tohoku University have developed a closed-loop AI framework that continuously learns from experiments to identify promising energy materials faster and at lower cost. The approach could accelerate the development of next-generation batteries, hydrogen storage and other low-carbon technologies.

A new online platform to explore computationally calculated chemical reaction pathways has been released, allowing for in-depth understanding and design of chemical reactions.