Finding hidden catalytic knowledge from literature data

Finding hidden catalytic knowledge from literature data

Exciting new research at Tohoku University's Advanced Institute for Materials Research (WPI-AIMR) explains how to transform decades of scattered literature data into computable design rules for catalysts. By using human intelligence, regression models, and AI agents, researchers can accelerate the discovery of efficient, low-cost catalysts for clean energy technologies like fuel cells, water splitting, and CO₂ reduction. By combining these methods, researchers can uncover new discoveries that were hidden in the literature data all along.