Tomacruz, J. G. T., Joey D. Ocon, & Padama, A. A. B. (2022). Machine Learning-accelerated Density Functional Theory (ML-DFT) screening of bimetallic transition metal surfaces based on single-atom adsorption energy predictions. College of Engineering, University of the Philippines Diliman.
Citace podle Chicago (17th ed.)Tomacruz, Jan Goran T., Joey D. Ocon, a Allan Abraham B. Padama. Machine Learning-accelerated Density Functional Theory (ML-DFT) Screening of Bimetallic Transition Metal Surfaces Based on Single-atom Adsorption Energy Predictions. Quezon City: College of Engineering, University of the Philippines Diliman, 2022.
Citace podle MLA (9th ed.)Tomacruz, Jan Goran T., et al. Machine Learning-accelerated Density Functional Theory (ML-DFT) Screening of Bimetallic Transition Metal Surfaces Based on Single-atom Adsorption Energy Predictions. College of Engineering, University of the Philippines Diliman, 2022.