Machine learning directed discovery and optimisation of a platinum-catalysed amide reduction.

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.

Simply accessible platinum(II) complexes enabling alkene hydrosilylation at ppm catalyst loadings.

An efficient olefin hydrosilylation protocol utilising Pt(II)-thioether-based pre-catalysts is reported. These simple and readily available complexes exhibit excellent catalytic performance and offer significant advantages over existing alternatives, enabling rapid and high conversions at ppm-level catalyst loadings.