Tomacruz J.G.T., Pilario K.E.S., Remolona M.F.M., Padama A.A.B., Ocon J.D., 2022, A Machine Learning-Accelerated Density Functional Theory (ML-DFT) Approach for Predicting Atomic Adsorption Energies on Monometallic Transition Metal Surfaces for Electrocatalyst Screening, Chemical Engineering Transactions, 94, 733-738.