AI Boosts Materials Discovery By 44% at Major US Lab

AI-powered teams at a major U.S. materials company discovered 44% more new materials and filed 39% more patents compared to teams using standard methods, according to a study by MIT economist Aidan Toner-Rodgers.

The research, conducted at an unnamed corporate laboratory with over 1,000 scientists, tracked the implementation of a custom machine-learning system combining graph neural networks with reinforcement learning. The AI tool, deployed in 2022, was pre-trained on crystal and molecular structure databases. Top-performing scientists showed the greatest gains with AI assistance, while lower-ranked researchers saw minimal benefits. The AI-designed materials demonstrated higher novelty compared to human designs, based on patent text analysis.

The company's secrecy limits independent verification of results, according to University College London chemist Robert Palgrave. Researchers using AI reported lower job satisfaction, citing reduced creative involvement in the discovery process.

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