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Phys.org — Chemistry · September 28, 2026 · On the brief until October 12, 2026

Organic chemists harness AI to uncover how fast chemical reactions proceed

ChemistryMaterials Science
THE AI ANGLE
Expanding experimental yield data to help estimate reaction rates

Researchers developed a method called CYAN that extracts reaction speeds directly from yield optimization data. Machine learning fills gaps between experimental points, and chemists apply rate equations to calculate kinetic values. This allows synthetic chemists to study reaction mechanisms without conducting separate time-course experiments.

Summary written by AI Business Lens with an AI model from the article at phys.org. It is not the article, and the publisher has not reviewed it. For publishers.

THE TEACHING ANGLE
Discuss whether yield data augmented by machine learning can reliably support mechanistic claims without direct time-course measurements.

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