16 citations · 16 across the 5 of their papers we have counts for
5 papers
Signal-Aware Conditional Diffusion Surrogates for Transonic Wing Pressure Prediction
Víctor Francés-Belda, Carlos Sanmiguel Vila, Rodrigo Castellanos
Accurate and efficient surrogate models for aerodynamic surface pressure fields are essential for accelerating aircraft design and analysis, yet deterministic regressors trained wi…
Optimization-Embedded Active Multi-Fidelity Surrogate Learning for Multi-Condition Airfoil Shape Optimization
Isaac Robledo, Alberto Vilariño, Arnau Miró +3
Active multi-fidelity surrogate modeling is developed for multi-condition airfoil shape optimization to reduce high-fidelity CFD cost while retaining RANS-consistent aerodynamic me…
Multi-fidelity aerodynamic data fusion by autoencoder transfer learning
Javier Nieto-Centenero, Esther Andrés, Rodrigo Castellanos
Accurate aerodynamic prediction often relies on high-fidelity simulations; however, their prohibitive computational costs severely limit their applicability in data-driven modeling…
Unsteady Thermal and Flow Structures of an Impinging Sweeping Jet
Rodrigo Castellanos, Adrián Martín-Perrino, Elena López-Núñez +1
Sweeping jets are increasingly employed in thermal management and flow control applications due to their inherent unsteadiness and ability to cover wide surface areas. This study i…
Towards aerodynamic surrogate modeling based on -variational autoencoders
Víctor Francés-Belda, Alberto Solera-Rico, Javier Nieto-Centenero +3
Surrogate models that combine dimensionality reduction and regression techniques are essential to reduce the need for costly high-fidelity computational fluid dynamics data. New ap…