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United KingdomCulture12 days ago

Finding hidden catalytic knowledge from literature data

Researchers at Tohoku University's Advanced Institute for Materials Research have developed a method to extract computable design rules for catalysts from existing literature data. The approach combines human intelligence, regression models, and AI agents to accelerate the discovery of efficient, low-cost catalysts for clean energy applications such as fuel cells, water splitting, and CO₂ reduction.

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Phys.orgIndependentCenter12 days ago
Finding hidden catalytic knowledge from literature data

Researchers at Tohoku University's Advanced Institute for Materials Research have developed a method to extract computable design rules for catalysts from existing literature data. The approach combines human intelligence, regression models, and AI agents to accelerate the discovery of efficient, low-cost catalysts for clean energy applications such as fuel cells, water splitting, and CO₂ reduction.

Bias read (Center): The article discusses scientific research focused on material science and clean energy technologies. It presents findings without overt ideological framing, emphasizing technical methods and potential applications rather than political implications. There is no detectable bias in language, sourcing,