Prediction of suitable catalysts for the OCM reaction by combining an evolutionary approach and machine learning

Abstract

A method to use the concept of directed evolution to synthesize new catalysts for the oxidative coupling of methane (OCM) in silico via a combination of a genetic algorithm and machine learning (ML) is described.