Accelerated design of nickel-cobalt based catalysts for CO₂ hydrogenation with human-in-the-loop active machine learning

Abstract

The effect of catalyst synthesis and reaction conditions on catalytic activity were accurately predicted with an interpretable data-driven strategy. The method is demonstrated for CO2 methanation and is extendable to other catalytic processes.