Such concepts are relatively well known for the work function which roughly correlates with the PZC. Halide adsorption or the adsorption of organic molecules 87 are just a few examples, how the work function can be tuned in addition to the substrate effect presented above. Employing such electrocatalyst design strategies, the future task should thus be to find materials with the optimal CO adsorption energy and PZC. For this, high-throughput computational screening of materials should be performed which can be facilitated by machine learning methods that utilize geometric and physical features. The prediction of the adsorption energy is thereby tricky, as it requires knowledge about the active site which is not always obvious from experimental setups. Beside that the development of material features for learning CO adsorption energies or work functions is in process and can be utilized in this plan.