Tomacruz JGT, Pilario KES, Remolona MFM, Padama AAB, Ocon JD. 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 [Internet]. 1Sep.2022 [cited 16Apr.2024];94:733-8. Available from: https://www.cetjournal.it/index.php/cet/article/view/CET2294122