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Large language model guides discovery of catalysts for clean energy tech

Designing high-performance catalysts is essential for cleaner energy technologies, but the behavior of multi-element modern catalyst materials is difficult to predict. In a new study, researchers at Tohoku University with international collaborators developed a collaborative framework that combines large language models with lab experiments to accelerate the discovery of high-entropy alloy catalysts for the oxygen reduction reaction, a key process in fuel cells.

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