194 citations · 450 across the 19 of their papers we have counts for
3 papers · 1 filter
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…