Summary

Chemists routinely optimize reactions to maximize the yield of their desired products, but understanding why those reactions work can require laborious experiments that track reactions over time. Researchers at the University of Tokyo have developed a method to extract hidden information about reaction speeds from yield data obtained during reaction optimization, using machine learning and rate equations developed by chemists.

AI summaries can be wrong sometimes—always verify important details using the source article.