HORSES3D: a high-order discontinuous Galerkin solver for flow simulations and multi-physics applications. - Esteban Ferrer 001; Gonzalo Rubio; Gerasimos Ntoukas; Wojciech Laskowski; Oscar A. Mariño; Stefano Colombo; Andrés Mateo-Gabín; Fernando Manrique de Lara; David Huergo; Juan Manzanero; Andrés M. Rueda-Ramírez; David A. Kopriva; et al. (CoRR, 2022)

Entropy-stable flux-differencing formulation with Gauss nodes for the DGSEM. - Andrés Mateo-Gabín; Andrés M. Rueda-Ramírez; Eusebio Valero; Gonzalo Rubio (CoRR, 2022)

An entropy stable spectral vanishing viscosity for discontinuous Galerkin schemes: Application to shock capturing and LES models. - Andrés Mateo-Gabín; Juan Manzanero; Eusebio Valero (J. Comput. Phys., 2022)

Unsupervised machine-learning shock-capturing technique for high-order solvers. - Andrés Mateo-Gabín; Kenza Tlales; Eusebio Valero; Esteban Ferrer 001; Gonzalo Rubio (CoRR, 2023)

A flux-differencing formulation with Gauss nodes. - Andrés Mateo-Gabín; Andrés M. Rueda-Ramírez; Eusebio Valero; Gonzalo Rubio (J. Comput. Phys., 2023)

HORSES3D: A high-order discontinuous Galerkin solver for flow simulations and multi-physics applications. - Esteban Ferrer 001; Gonzalo Rubio; Gerasimos Ntoukas; Wojciech Laskowski; Oscar A. Mariño; Stefano Colombo; Andrés Mateo-Gabín; H. Marbona; Fernando Manrique de Lara; David Huergo; Juan Manzanero; Andrés M. Rueda-Ramírez; et al. (Comput. Phys. Commun., 2023)

Generative Aerodynamic Design with Diffusion Probabilistic Models. - Thomas Wagenaar; Simone Mancini; Andrés Mateo-Gabín (CoRR, 2024)

An unsupervised machine-learning-based shock sensor: Application to high-order supersonic flow solvers. - Andrés Mateo-Gabín; Kenza Tlales; Eusebio Valero; Esteban Ferrer 001; Gonzalo Rubio (Expert Syst. Appl., 2025)

Accelerating high order discontinuous Galerkin solvers through a clustering-based viscous/turbulent-inviscid domain decomposition. - Kheir-Eddine Otmani; Andrés Mateo-Gabín; Gonzalo Rubio; Esteban Ferrer 001 (Eng. Comput., 2025)