David Huergo

According to our database, David Huergo authored at least 4 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Reinforcement learning to maximise wind turbine energy generation.

Daniel Soler, Oscar A. Mariño, David Huergo, Martín de Frutos, Esteban Ferrer

CoRR, 2024

2023

HORSES3D: A high-order discontinuous Galerkin solver for flow simulations and multi-physics applications.

Esteban Ferrer, 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, David A. Kopriva, Eusebio Valero

Comput. Phys. Commun., June, 2023

A reinforcement learning strategy for p-adaptation in high order solvers.

David Huergo, Gonzalo Rubio, Esteban Ferrer

CoRR, 2023

2022

HORSES3D: a high-order discontinuous Galerkin solver for flow simulations and multi-physics applications.

Esteban Ferrer, 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, Eusebio Valero

CoRR, 2022