- Nationality: Spanish
- Funding entity and Program: Instituto Nacional de Técnica Aeroespacial (INTA)
PhD Thesis
Physics-Informed Neural Operators for Aerodynamic Surrogate Modeling: Enhancing Generalization and Robustness in Aircraft Flow Prediction
Supervisors
Rodrigo Castellanos García de Blas (UC3M) & Carlos Sanmiguel Vila (INTA)
Abstract
My PhD thesis focuses on advancing Physics-Informed Machine Learning (PIML) for aerodynamic surrogate modeling. Traditional ML struggles with generalization and physical consistency in aerodynamics. By emedding physicis in ML models my work enhances accuracy, stability, and interpretability, reducing reliance on costly CFD simulations.
TIFON – Tecnologías Inteligentes para la Fabricación, el diseño y las Operaciones en entornos industriales PLEC2023-010251. This project has been granted by the CDTI, with the support of the Ministry of Science and Innovation, with file number MIG-20232039 through the TransMisiones 2023 initiative, within the scope of the “Programa Estatal para Catalizar la Innovación y el Liderazgo Empresarial del Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023” program.
PhD in Aerospace Engineering UC3M 