Posted in Chemical Communications on November 12, 2024

Abstract

The discovery and optimisation of reaction conditions leading to the reduction of amides, a fundamental large-scale industrial reaction, is achieved using a machine learning (ML) platform and a platinum catalyst. The optimisation leads to the discovery of a new platinum-based catalytic system that displays unexpectedly high performance. The approach enables rapid and high conversions at ppm-level catalyst loadings.

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Casillo, E.; Maliszewski, B.P.; Urbina-Blanco, C.A.; Scattolin, T.; Cazin, C.S.J.; Nolan, S.P. "Machine Learning Directed Discovery and Optimisation of a Platinum-Catalysed Amide Reduction." Chem. Commun., 2024, 60, 14597–14600. https://doi.org/10.1039/D4CC05273K

_{© 2024 The Authors. Published by Royal Society of Chemistry. Licensed under CC BY-NC 3.0.}

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