A pair of chemists at the University of Manchester has developed a machine-learning tool that can be used to classify reactions based on simulated kinetic signatures of reactions. In their paper published in the journal Nature, Jordi Burés and Igor Larrosa describe combining two deep-learning algorithms to create a system that could speed up the process of new design reactions.
Click here for original story, A machine-learning tool that classifies catalytic reactions based on simulated kinetic signatures
Source: Phys.org