Current Outlooks on Machine Learning Methods for the Development of Industrial Homogeneous Catalytic Systems

Abstract: This brief perspective outlines the pivotal role of Machine Learning methods in green, digital transition industrial chemistry. The focus on homogenous catalysis highlights recent methodologies development processes, including design new catalysts and enhancement sustainable reaction conditions to lower production costs. We report several examples assisted through Data Science trends innovation homogeneous organocatalytic systems. also stress current benefits, drawbacks, limitations towards mass implementation these methodologies.