2 citations · 4 across the 3 of their papers we have counts for
3 papers
Generative Aerodynamic Design with Diffusion Probabilistic Models
Thomas Wagenaar, Simone Mancini, Andrés Mateo-Gabín
The optimization of geometries for aerodynamic design often relies on a large number of expensive simulations to evaluate and iteratively improve the geometries. It is possible to…
Accelerating high order discontinuous Galerkin solvers through a clustering-based viscous/turbulent-inviscid domain decomposition
Kheir-Eddine Otmani, Andrés Mateo-Gabín, Gonzalo Rubio +1
We explore the unsupervised clustering technique introduced in [25] to identify viscous/turbulent from inviscid regions in incompressible flows. The separation of regions allows so…
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…