Data-driven design of catalysts for sustainable applications
Artificial intelligence is increasingly able to predict successfully new chemicals that possess a targeted functionality. The success of such materials discovery approaches is nonetheless contingent upon having the right data source to mine, and machine-learning approaches that suitably encode structure-function relationships that can be used to predict a lead material…