A transferable machine-learning scheme from pure metals to alloys for predicting adsorption energies

We propose a transferable machine-learning model based on the intrinsic descriptors, which can predict the adsorption energies of single-atom alloys, AB intermetallics and high-entropy alloys , simply by training the properties of transition metals.