Ferrer, Esteban
- Insights on aliasing driven instabilities for advection equations with application to Gauss-Lobatto discontinuous Galerkin methods
2017/05/03 by Juan Manzanero, Gonzalo Rubio, Manzanero, Juan +7 · 2 citations
Engineering · Mathematics · #Advanced Numerical Methods in Computational Mathematics #Computational Fluid Dynamics and Aerodynamics #FOS: Mathematics #Numerical Analysis (math.NA) #Numerical methods for differential equations
- Aeroacoustic airfoil shape optimization enhanced by autoencoders
2022/09/30 by Kou, Jiaqing, Botero-Bolívar, Laura, Ballano, Román +4 · 2 citations
#FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn)
- A comparative study of explicit and implicit Large Eddy Simulations using a high-order discontinuous Galerkin solver: application to a Formula 1 front wing
2024/01/15 by Gerasimos Ntoukas, Ntoukas, Gerasimos, Gonzalo Rubio +11 · 2 citations
Engineering · #Aerodynamics and Acoustics in Jet Flows #Computational Engineering #Computational Fluid Dynamics and Aerodynamics #FOS: Computer and information sciences #FOS: Mathematics #Finance #Fluid Dynamics and Turbulent Flows #Numerical Analysis (math.NA) #and Science (cs.CE)
- Truncation Error-Based Anisotropic p-Adaptation for Unsteady Flows for High-Order Discontinuous Galerkin Methods
2022/10/07 by Andrés M. Rueda-Ramírez, Gerasimos Ntoukas, Rueda-Ramírez, Andrés M. +7 · 1 citation
Engineering · Physics and Astronomy · Mathematics · #Advanced Numerical Methods in Computational Mathematics #Model Reduction and Neural Networks #Numerical methods for differential equations
- A comparison of h- and p-refinement to capture wind turbine wakes
2024/09/25 by Kessasra, Hatem, Cordero-Gracia, Marta, Gómez, Mariola +3 · 1 citation
#FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn)
- Reinforcement learning for anisotropic p-adaptation and error estimation in high-order solvers
2024/07/26 by Huergo, David, de Frutos, Martín, Jané, Eduardo +3 · 2 citations
#Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Machine Learning (cs.LG)
- Modelling Wind Turbines via Actuator Lines in High-Order h/p Solvers
2024/06/14 by Oscar A. Mariño, Marino, Oscar A., R. Marinas Sanz +7 · 1 citation
Mathematics · #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Numerical methods for differential equations
- Acoustic Propagation/Refraction Through Diffuse Interface Models
2025/04/02 by Ballout, Abbas, Marino, Oscar A., Ntoukas, Gerasimos +2 · 1 citation
#Computational Physics (physics.comp-ph) #FOS: Mathematics #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Numerical Analysis (math.NA)
- A reinforcement learning strategy for p-adaptation in high order solvers
2023/06/14 by Huergo, David, Rubio, Gonzalo, Ferrer, Esteban · 1 citation
#FOS: Computer and information sciences #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Machine Learning (cs.LG)
- On the prediction of underwater aerodynamic noise of offshore wind turbines
2025/01/14 by Laura Botero Bolívar, Bolívar, Laura Botero, Martín de Frutos +4 · 1 citation
Earth and Planetary Sciences · Environmental Science · Engineering · #Underwater Acoustics Research #Marine animal studies overview #Ship Hydrodynamics and Maneuverability
- On the role of numerical dissipation in stabilising under-resolved turbulent simulations using discontinuous Galerkin methods
2018/05/26 by Juan Manzanero, Esteban Ferrer, Manzanero, Juan +5 · 1 citation
Engineering · #Advanced Numerical Methods in Computational Mathematics #Computational Fluid Dynamics and Aerodynamics #Computational Physics (physics.comp-ph) #FOS: Mathematics #FOS: Physical sciences #Fluid Dynamics and Turbulent Flows #Numerical Analysis (math.NA)
- Can Explicit Subgrid Models Enhance Implicit LES Simulations? A GPU-Oriented High-Order-Solver Perspective
2025/12/04 by Rubio, Gonzalo, Ntoukas, Gerasimos, Chávez-Módena, Miguel +5 · 1 citation
#FOS: Mathematics #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Numerical Analysis (math.NA)