Some of the most encouraging results for reaction-enhancing catalysts come from one material in particular: tin (Sn). While Sn’s overall utility as a catalyst is well-known, its underlying structure-performance relationship is poorly understood, which limits our ability to maximize its potential.
Study uses machine learning to map pH-dependent performance of tin catalysts
