194 citations · 450 across the 19 of their papers we have counts for
20 papers
Mesh Adaptation on Hybrid Unstructured Meshes for Immersed Boundary Methods
Jonatan Núñez-de la Rosa, Esteban Ferrer, Eusebio Valero
In this work, we describe a new preprocessing tool for mesh adaptation on hybrid unstructured meshes with a target application on immersed boundary methods. The tool has as input a…
An unsupervised machine-learning-based shock sensor for high-order supersonic flow solvers
Andrés Mateo-Gabín, Kenza Tlales, Eusebio Valero +2
We present a novel unsupervised machine-learning sock sensor based on Gaussian Mixture Models (GMMs). The proposed GMM sensor demonstrates remarkable accuracy in detecting shocks a…
A reinforcement learning strategy for p-adaptation in high order solvers
David Huergo, Gonzalo Rubio, Esteban Ferrer
Reinforcement learning (RL) has emerged as a promising approach to automating decision processes. This paper explores the application of RL techniques to optimise the polynomial or…
A combined volume penalization / selective frequency damping approach for immersed boundary methods: application to moving geometries
Jiaqing Kou, Esteban Ferrer
This work extends, to moving geometries, the immersed boundary method based on volume penalization and selective frequency damping approach [J. Kou, E. Ferrer, A combined volume pe…
Improving aircraft performance using machine learning: a review
Soledad Le Clainche, Esteban Ferrer, Sam Gibson +3
This review covers the new developments in machine learning (ML) that are impacting the multi-disciplinary area of aerospace engineering, including fundamental fluid dynamics (expe…
Truncation Error-Based Anisotropic -Adaptation for Unsteady Flows for High-Order Discontinuous Galerkin Methods
Andrés M. Rueda-Ramírez, Gerasimos Ntoukas, Gonzalo Rubio +2
In this work, we extend the -estimation method to unsteady problems and use it to adapt the polynomial degree for high-order discontinuous Galerkin simulations of unsteady flows…