| : A high-order discontinuous Galerkin solver for flow simulations and multi-physics applications E Ferrer, G Rubio, G Ntoukas, W Laskowski, OA Mariño, S Colombo, ... Computer Physics Communications 287, 108700, 2023 | 58 | 2023 |
| Aeroacoustic airfoil shape optimization enhanced by autoencoders J Kou, L Botero-Bolívar, R Ballano, O Marino, L De Santana, E Valero, ... Expert Systems with Applications 217, 119513, 2023 | 38 | 2023 |
| Reinforcement learning to maximize wind turbine energy generation D Soler, O Mariño, D Huergo, M de Frutos, E Ferrer Expert Systems with Applications 249, 123502, 2024 | 14 | 2024 |
| Toward a robust detection of viscous and turbulent flow regions using unsupervised machine learning KE Otmani, G Ntoukas, OA Mariño, E Ferrer Physics of Fluids 35 (2), 2023 | 13 | 2023 |
| Jump penalty stabilization techniques for under-resolved turbulence in discontinuous Galerkin schemes J Kou, OA Marino, E Ferrer Journal of Computational Physics 491, 112399, 2023 | 9 | 2023 |
| Low-cost wind turbine aeroacoustic predictions using actuator lines L Botero-Bolívar, OA Marino, CH Venner, LD de Santana, E Ferrer Renewable Energy 227, 120476, 2024 | 5 | 2024 |
| Soot production modelling for operational computational fluid dynamics fire simulations O Marino, F Munoz, W Jahn Journal of Fire Sciences 38 (3), 284-308, 2020 | 5 | 2020 |
| Modelling wind turbines via actuator lines in high-order h/p solvers OA Marino, RÃ Sanz, S Colombo, A Sivaramakrishnan, E Ferrer arXiv preprint arXiv:2406.09993, 2024 | 4 | 2024 |
| A comparative study of explicit and implicit Large Eddy Simulations using a high-order discontinuous Galerkin solver: application to a Formula 1 front wing G Ntoukas, G Rubio, O Marino, A Liosi, F Bottone, J Hoessler, E Ferrer Results in Engineering, 104425, 2025 | 2 | 2025 |
| Aeroacoustic simulations of 3D airfoil sections using a high order discontinuous Galerkin solver OA Marino, E Ferrer, E Valero, O Ferret AIAA SCITECH 2022 Forum, 0413, 2022 | 2 | 2022 |
| A comparison of neural-network architectures to accelerate high-order h/p solvers OA Marino, A Juanicotena, J Errasti, D Mayoral, F Manrique de Lara, ... Physics of Fluids 36 (10), 2024 | 1 | 2024 |
| Reinforcement learning for anisotropic p-adaptation and error estimation in high-order solvers D Huergo, M de Frutos, E Jané, OA Marino, G Rubio, E Ferrer arXiv preprint arXiv:2407.19000, 2024 | 1 | 2024 |
| Accelerating high order discontinuous Galerkin solvers using neural networks: Wall bounded flows OA Mariño, D Mayoral, A Juanicotena, FM De Lara, E Ferrer Journal of Physics: Conference Series 2753 (1), 012023, 2024 | 1 | 2024 |
| Implementación de modelos de producción hollín para simulaciones de incendio en FDS OA Mariño Sánchez Uniandes, 2016 | 1 | 2016 |
| Deep Reinforcement Learning for Multi-Objective Optimization: Enhancing Wind Turbine Energy Generation while Mitigating Noise Emissions M de Frutos, OA Marino, D Huergo, E Ferrer arXiv preprint arXiv:2407.13320, 2024 | | 2024 |
| Evaluación de elementos estructurales sometidos a cargas térmicas bajo la teoría de" incendios que se propagan" OA Mariño Sánchez Uniandes, 2014 | | 2014 |
| Evaluación de una unión adhesiva ante una carga térmica variable en el tiempo OA Mariño Sánchez Uniandes, 2014 | | 2014 |
| Aerodynamics predictions of a NACA0012 in LES simulations using a high order discontinuous Galerkin solver OA Marino, E Ferrer, E Valero, J Errasti | | |
