1 citations · 1 across the 3 of their papers we have counts for
4 papers
Airfoil2Vec: Spectral Geometry-Conditioned Neural Surrogate Models for Airfoil Aerodynamics and a Downforce-Generating CFD Dataset
Haitz Sáez de Ocáriz Borde, Flavio Savarino, Andrei Cristian Popescu +3
We introduce a dataset of approximately 10,000 Reynolds-Averaged Navier-Stokes (RANS) simulations of steady, incompressible, two-dimensional subsonic flow around downforce-generati…
Learning 3D Hypersonic Flow with Physics-Enhanced Neural Fields: A Case Study on the Orion Reentry Capsule
Haitz Sáez de Ocáriz Borde, Pietro Innocenzi, Flavio Savarino +2
We develop a 3D aerothermodynamic simulator for the Orion reentry capsule at hypersonic speeds, a timely case study given its role in upcoming lunar missions. The large computation…
Aerothermodynamic Simulators for Rocket Design using Neural Fields
Haitz Sáez de Ocáriz Borde, Pietro Innocenzi, Flavio Savarino
The typical size of computational meshes needed for realistic geometries and high-speed flow conditions makes Computational Fluid Dynamics (CFD) impractical for full-mission perfor…
Reconstruction of irregular flow dynamics around two square cylinders from sparse measurements using a data-driven algorithm
Flavio Savarino, George Papadakis
We propose a data-driven algorithm for reconstructing the irregular, chaotic flow dynamics around two side-by-side square cylinders from sparse, time-resolved, velocity measurement…