Uncovering the influence of the modifier redox potential on CO2 reduction through combined data-driven machine learning and hypothesis-driven experimentation

By examining the literature on organic-modified Cu in CO 2 electroreduction and conducting tailored experiments, we discovered a link between the reduction potential of the modifier and the selectivity of the resulting products.