Abstract
The development of catalytic methods to facilitate bond constructions has expanded the reaction space accessible to the synthetic chemist. At the core of this is predictable catalyst design and different strategies have been pursued to achieve this goal. Here, the author highlights how data–driven workflows can be employed for the development and understanding of efficient catalytic protocols.
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