| Modeling and simulation in tribology across scales: An overview AI Vakis, VA Yastrebov, J Scheibert, L Nicola, D Dini, C Minfray, ... Tribology International 125, 169-199, 2018 | 546 | 2018 |
| Nonequilibrium Molecular Dynamics Simulations of Stearic Acid Adsorbed on Iron Surfaces with Nanoscale Roughness JP Ewen, S Echeverri Restrepo, N Morgan, D Dini Tribology International, 2016 | 82 | 2016 |
| Density functional theory calculations of iron-vanadium carbide interfaces and the effect of hydrogen S Echeverri Restrepo, D Di Stefano, M Mrovec, AT Paxton International Journal of Hydrogen Energy, 2019 | 56* | 2019 |
| Using artificial neural networks to predict grain boundary energies S Echeverri Restrepo, S Tamayo Giraldo, BJ Thijsse Computational Materials Science 86, 170-173, 2014 | 29 | 2014 |
| Dark etching regions under rolling contact fatigue: a review S Echeverri Restrepo, SW Ooi, P Yan, P Andric, RH Vegter, J Lai Materials Science and Technology 37 (4), 347-376, 2021 | 22 | 2021 |
| Behaviour of n-alkanes confined between iron oxide surfaces at high pressure and shear rate: A nonequilibrium molecular dynamics study S Echeverri Restrepo, MCP van Eijk, JP Ewen Tribology International, 2019 | 20 | 2019 |
| Predicting dislocation density in martensite ab-initio P Andric, S Echeverri Restrepo, F Maresca Acta Materialia 243, 118500, 2023 | 19 | 2023 |
| A genetic algorithm for generating grain boundaries S Echeverri Restrepo, S Tamayo Giraldo, BJ Thijsse Modelling and Simulation in Materials Science and Engineering 21 (5), 055017, 2013 | 17 | 2013 |
| Effect of hydrogen on vacancy diffusion S Echeverri Restrepo, H Lambert, AT Paxton Physical Review Materials 4 (11), 113601, 2020 | 13 | 2020 |
| On the interpretation of deep learning models in bearing vibration diagnostics M Liefstingh, C Taal, S Echeverri Restrepo, A Azarfar Annual Conference of the PHM Society 13 (1), 2021 | 11* | 2021 |
| Atomistic relaxation of systems containing plasticity elements S Echeverri Restrepo, MHF Sluiter, BJ Thijsse Computational Materials Science 73, 154-160, 2013 | 8 | 2013 |
| Mechanistic driving force for martensite decay in rolling contact fatigue P Andric, S Echeverri Restrepo, J Lai, CH Venner, E Vegter Tribology International, 108470, 2023 | 7 | 2023 |
| ABC-FIRE: Accelerated Bias-Corrected Fast Inertial Relaxation Engine S Echeverri Restrepo, P Andric Computational Materials Science 218, 111978, 2023 | 6 | 2023 |
| Density functional theory characterisation of cementite (Fe3C) with substitutional molybdenum (Mo) atoms S Echeverri Restrepo Physica B: Condensed Matter, 413669, 2022 | 6 | 2022 |
| Effect of crystal defects in iron on carbon diffusivity: Analytical model married to atomistics S Echeverri Restrepo, P Andric, AT Paxton Physical Review Materials 6 (10), L100801, 2022 | 3 | 2022 |
| Recherche opérationnelle appliquée à la gestion industrielle S Tamayo, R Cardin, S Echeverri Restrepo, D Pino ISBN-13: 978-1530248728 1, 286, 2016 | 2 | 2016 |
| Atomistic and Artificial Intelligence Simulations of Grain Boundaries and Dislocations S Echeverri Restrepo | 1* | 2015 |
| Towards a Virtual Laboratory for Grain Boundaries and Dislocations S Echeverri Restrepo, BJ Thijsse MRS Proceedings 1224, 1224-GG05-03, 2009 | 1* | 2009 |
| Mechanism and prediction of screw dislocation strengthening by interstitials in advanced high-strength steels: Application to Fe-C and Fe-N alloys P Andric, SE Restrepo, F Maresca Mechanics of Materials, 105314, 2025 | | 2025 |
| Applicability of universal machine learning interatomic potentials to the simulation of steels S Echeverri Restrepo, NK Mohandas, M Sluiter, AT Paxton Modelling and Simulation in Materials Science and Engineering, 2025 | | 2025 |
Predrag AndricSr. Researcher, SKFZweryfikowany adres z skf.com