Submitted – Under Review

2025 Publications

[54] S. Shrestha, M. Gerritsma, G. Rubio, S. Hulshoff, E. Ferrer, “Optimal solutions employing an algebraic Variational Multiscale approach Part I: Steady Linear Problems” Accepted Computer Methods in Applied Mechanics and Engineering (preprint)
[53] S. Colombo, G. Rubio, J. Kou, E. Valero, R. Codina, E. Ferrer, “A high order immersed boundary method to approximate flow problems in domains with curved boundaries” Journal of Computational Physics, 113807 (Available online, preprint)
[52] A. Mateo-Gabín, K. Tlales, E. Valero, E. Ferrer, G. Rubio, “An unsupervised machine-learning-based shock sensor for high-order supersonic flow solvers” Expert Systems With Applications, Vol 270, 126352  (Available online, preprint)

2024 Publications

[51] H. Kessasra, M. Cordero-Gracia, M. Gómez, E. Valero, G. Rubio, E. Ferrer, “A comparison of h-and p-refinement to capture wind turbine wakes” Physics of Fluids, Vol 36, 125125 (Available online, preprint)
[50] D. Huergo, L. Alonso, S. Joshi, A. Juanicoteca, G. Rubio, E. Ferrer, “A reinforcement learning strategy to automate and accelerate h/p-multigrid solvers” Results in Engineering, Vol 24 , 102949 (Available online, arXiv preprint)
[49] K.E. Otmani, A. Mateo-Gabín, G. Rubio, E. Ferrer, “Accelerating high order discontinuous Galerkin solvers through a clustering-based viscous/turbulent-inviscid domain decomposition,” Engineering with computers, 1-16 (Available online, arXiv preprint)
[48] A. Amatriain, M. Angeletti, C. Gargiulo, G. Rubio, “Aeroelastic analysis using confocal sensors: Experimental study and numerical validation with application to a future particle detector,” Aerospace Science and Technology, 109313 (Available online)
[47] K. Tlales, K. E. Otmani, G. Ntoukas, G. Rubio, E. Ferrer, “Machine learning adaptation for laminar and turbulent flows: Applications to high order discontinuous Galerkin solvers,” Engineering with Computers, 1-23 (Available online)
[46] D. Huergo, G. Rubio, E. Ferrer “A reinforcement learning strategy for p-adaptation in high order solvers,” Results in Engineering 21, 101693 (Available online, arXiv preprint)
[45] A. Amatriain, M. Angeletti, C. Gargiulo, G. Rubio, “Development of an air cooling system with low material budget for high-energy physics applications,” Applied Thermal Engineering, 121699 (Available online)
[44] A. Amatriain, C. Gargiulo, G. Rubio, “Generalized wall-modeled large eddy simulation model for industrial applications,” Physics of Fluids, 36(1) (Available online)

2023 Publications

[43] A. Amatriain, C. Gargiulo, G. Rubio, “Numerical and experimental study of open-cell foams for the characterization of heat exchangers,” International Journal of Heat and Mass Transfer, 124701 (Available online)
[42] S. Joshi, J. Kou, A. H. de Mendoza, K. Puri, C. Hirsch, G. Rubio, E. Ferrer, “Length-scales for efficient CFL conditions in high-order methods with distorted meshes: Application to local-timestepping for p-multigrid,” Computers & Fluids, 106011 (Available online, PDF available)
[41] A. Mateo-Gabín, A. M. Rueda-Ramírez, E. Valero, G. Rubio, “A flux-differencing formulation with Gauss nodes,” Journal of Computational Physics, 112298 (Available online)
[40] A. M. Rueda-Ramírez, G. Ntoukas, G. Rubio, E. Valero, E. Ferrer, “Truncation error-based anisotropic adaptation for unsteady flows for high-order discontinuous Galerkin methods,” International Journal of Computational Fluid Dynamics, 37(6), 430-450 (Available online, arXiv preprint)
[39] E. Ferrer, G. Rubio, G. Ntoukas, W. Laskowski, O. A. Mariño, S. Colombo, A. Mateo-Gabín, H. Marbona, F. Manrique de Lara, D. Huergo, J. Manzanero, A. M. Rueda-Ramírez, D. A. Kopriva, E. Valero, “HORSES3D: A high-order discontinuous Galerkin solver for flow simulations and multi-physics applications,” Computer Physics Communications, 287, 108700 (Available online, PDF available)

2022 Publications

[38] J. Manzanero, C. Redondo, M. Chávez-Módena, G. Rubio, E. Valero, S. Gómez-Álvarez, A. Rivero-Jiménez, “High-order discontinuous Galerkin approximation for a three-phase incompressible Navier–Stokes/Cahn–Hilliard model,” Computers & Fluids, 244, 105545 (Available online, PDF available)
[37] G. Ntoukas, J. Manzanero, G. Rubio, E. Valero, E. Ferrer, “An entropy–stable p–adaptive nodal discontinuous Galerkin for the coupled Navier–Stokes/Cahn–Hilliard system,” Journal of Computational Physics, 458, 111093 (Available online, PDF available)
[36] W. Laskowski, G. Rubio, E. Valero, E. Ferrer, “A functional oriented truncation error adaptation method,” Journal of Computational Physics, 451, 110883 (Available online, PDF available)

2020 Publications

[29] W. Laskowski, A.M. Rueda-Ramírez, G. Rubio, E. Valero, E. Ferrer, “Advantages of static condensation in implicit compressible Navier-Stokes DGSEM solvers,” Computers & Fluids, 104646 (Available online, PDF available)
[28] M. Chávez-Modena, A. Martínez-Cava, G. Rubio, E. Ferrer, “Optimizing free parameters in the D3Q19 Multiple-Relaxation lattice Boltzmann methods to simulate under-resolved turbulent flows,” Journal of Computational Science, 101170 (Available online, PDF available)
[27] J. Manzanero, E. Ferrer, G. Rubio, E. Valero, “Design of a Smagorinsky spectral Vanishing Viscosity turbulence model for discontinuous Galerkin methods,” Computers & Fluids, 200, 104440 (Available online, PDF available)
[26] J. Manzanero, G. Rubio, D.A. Kopriva, E. Ferrer, E. Valero, “Entropy–stable discontinuous Galerkin approximation with summation–by–parts property for the incompressible Navier–Stokes/Cahn–Hilliard system,” Journal of Computational Physics, 109363 (Available online, PDF available)
[25] J. Manzanero, G. Rubio, D.A. Kopriva, E. Ferrer, E. Valero, “An entropy–stable discontinuous Galerkin approximation for the incompressible Navier–Stokes equations with variable density and artificial compressibility,” Journal of Computational Physics, 408, 109241 (Available online, PDF available)
[24] J. Manzanero, G. Rubio, D.A. Kopriva, E. Ferrer, E. Valero, “A free-energy stable nodal discontinuous Galerkin approximation with summation-by-parts property for the Cahn-Hilliard equation,” Journal of Computational Physics, 403, 109072 (Available online, PDF available)
[23] A. Amatriain, I. Parra, G. Rubio, E. Valero, “Mathematical Modeling of Thermal Ablation Treatments in Heart Arrhythmias,” Proceedings of the 14th WCCM-ECCOMAS Congress 2020, DOI: 10.23967/wccm-eccomas.2020.193 (Available online, PDF available)

2019 Publications

[22] A.M. Rueda-Ramírez, J. Manzanero, E. Ferrer, G. Rubio, E. Valero, “A p-multigrid strategy with anisotropic p-adaptation based on truncation errors for high-order discontinuous Galerkin methods,” Journal of Computational Physics, 378, 209-233 (Available online, PDF available)
[21] A.M. Rueda-Ramírez, G. Rubio, E. Ferrer, E. Valero, “Truncation Error Estimation in the p-Anisotropic Discontinuous Galerkin Spectral Element Method,” Journal of Scientific Computing, 78(1), 433-466 (Available online, PDF available)
[20] A. Amatriain, I. Parra, G. Rubio, “Study of Bubble Growth in a Multicomponent Mixture at High Pressure,” Proceedings of the 4th World Congress on Momentum, Heat and Mass Transfer (MHMT’19), Rome, Italy – April 2019, Paper No. ICMFHT 125, DOI: 10.11159/icmf (Available online, PDF available)

2018 Publications

[19] M. Chávez-Módena, E. Ferrer, G. Rubio, “Improving the stability of multiple-relaxation lattice Boltzmann methods with central moments,” Computers & Fluids, 172, 397-409 (Available online, PDF available)
[18] J. Manzanero, G. Rubio, E. Ferrer, E. Valero, “Dispersion-Dissipation Analysis for Advection Problems with Nonconstant Coefficients: Applications to Discontinuous Galerkin Formulations,” SIAM Journal on Scientific Computing, 40(2), A747-A768 (Available online, PDF available)
[17] C. Redondo, G. Rubio, E. Valero, “On the efficiency of the IMPES method for two phase flow problems in porous media,” Journal of Petroleum Science and Engineering, 164, 427-436 (Available online, PDF available)
[16] J. Manzanero, A.M. Rueda-Ramírez, G. Rubio, E. Ferrer, “The Bassi Rebay 1 scheme is a special case of the Symmetric Interior Penalty formulation for discontinuous Galerkin discretisations with Gauss–Lobatto points,” Journal of Computational Physics, 363, 1-10 (Available online, PDF available)
[15] E. Ferrer, J. Manzanero, A. M. Rueda-Ramirez, G. Rubio, E. Valero, “Implicit LES for NACA0012 airfoils using compressible and incompressible DG solvers,” Proceedings Icosahom-2018, Part of the Lecture Notes in Computational Science and Engineering book series (LNCSE) (Available online, PDF available)
[14] A. M. Rueda-Ramirez, E. Ferrer, G. Rubio, E. Valero, “An Anisotropic p-Adaptation Multigrid Scheme for Discontinuous Galerkin Methods,” Proceedings Icosahom-2018, Part of the Lecture Notes in Computational Science and Engineering book series (LNCSE) (Available online, PDF available)
[13] J. Manzanero, C. Redondo, G. Rubio, E. Ferrer, E. Valero, S. Gómez, A. Rivero, “A high order discontinuous Galerkin solver for multiphase flows,” Proceedings Icosahom-2018, Part of the Lecture Notes in Computational Science and Engineering book series (LNCSE) (Available online, PDF available)

2017 Publications

[12] J. Manzanero, G. Rubio, E. Ferrer, E. Valero, D.A. Kopriva, “Insights on Aliasing Driven Instabilities for Advection Equations with Application to Gauss–Lobatto Discontinuous Galerkin Methods,” Journal of Scientific Computing, 75(3), 1262-1281 (Available online, PDF available)

2016 Publications

[11] F. Fraysse, C. Redondo, G. Rubio, E. Valero, “Upwind methods for the Baer–Nunziato equations and higher-order reconstruction using artificial viscosity,” Journal of Computational Physics, 326, 805-827 (Available online, PDF available)
[10] M. Kompenhans, G. Rubio, E. Ferrer, E. Valero, “Comparisons of p-adaptation strategies based on truncation-and discretisation-errors for high order discontinuous Galerkin methods,” Computers & Fluids, 139, 36-46 (Available online, PDF available)
[9] M. Kompenhans, G. Rubio, E. Ferrer, E. Valero, “Adaptation strategies for high order discontinuous Galerkin methods based on Tau-estimation,” Journal of Computational Physics, 306, 216-236 (Available online, PDF available)
[8] V. Llorente, G. Rubio, A. Pascau, E. Ferrer, M. Arici, “Comparison of the ENATE approach and Discontinuous Galerkin Spectral Element Method in 1D nonlinear transport equations,” Computer Assisted Methods in Engineering and Science, Vol 23, p 133–146, 2016 (Available online, PDF available)
[7] C. Redondo, F. Fraysse, G. Rubio, E. Valero, “Artificial Viscosity Discontinuous Galerkin Spectral Element Method for the Baer-Nunziato Equations,” Spectral and High Order Methods for Partial Differential Equations ICOSAHOM 2016, pp. 613-625, Part of the Lecture Notes in Computational Science and Engineering book series (LNCSE, volume 119) (Available online, PDF available)

2015 Publications

[6] G. Rubio, F. Fraysse, D. A. Kopriva, E. Valero, “Quasi-a priori truncation error estimation in the DGSEM,” Journal of Scientific Computing, 64 (2), 425-455 (Available online, PDF available)

2014 Publications

[5] O. M. F. Browne, G. Rubio, E. Ferrer, E. Valero, “Sensitivity analysis to unsteady perturbations of complex flows: a discrete approach,” International Journal for Numerical Methods in Fluids, 76 (12), 1088-1110 (Available online, PDF available)
[4] F. Fraysse, G. Rubio, J. de Vicente, E. Valero, “Quasi-a priori mesh adaptation and extrapolation to higher order using τ-estimation,” Aerospace Science and Technology, 38, 76-87 (Available online, PDF available)

2013 Publications

[3] G. Rubio, F. Fraysse, J. de Vicente, E. Valero, “The Estimation of Truncation Error by tau-estimation for Chebyshev Spectral Collocation Method,” Journal of Scientific Computing, 57 (1), 146-173 (Available online, PDF available)
[2] F. Fraysse, E. Valero, G. Rubio, “Quasi-a priori truncation error estimation and higher order extrapolation for non-linear partial differential equations,” Journal of Computational Physics, 253, 389-404 (Available online, PDF available)

2012 Publications

[1] G. Rubio, E. Valero, S. Lanzan, “Computational Fluid Dynamics Expert System Using Artificial Neural Networks,” International Journal of Engineering and Applied Sciences, Vol 6, p 40–44, 2012 (Available online, PDF available)27