no code implementations • 24 Jan 2023 • Adrián Corrochano, Rodolfo S. M. Freitas, Alessandro Parente, Soledad Le Clainche
The number of degrees of freedom is reduced from thousands of temporal points to a few POD modes with their corresponding temporal coefficients.
no code implementations • 20 Oct 2022 • Soledad Le Clainche, Esteban Ferrer, Sam Gibson, Elisabeth Cross, Alessandro Parente, Ricardo Vinuesa
This review covers the new developments in machine learning (ML) that are impacting the multi-disciplinary area of aerospace engineering, including fundamental fluid dynamics (experimental and numerical), aerodynamics, acoustics, combustion and structural health monitoring.
no code implementations • 5 Sep 2022 • Kamila Zdybał, Giuseppe D'Alessio, Gianmarco Aversano, Mohammad Rafi Malik, Axel Coussement, James C. Sutherland, Alessandro Parente
The use of machine learning algorithms to predict behaviors of complex systems is booming.
1 code implementation • 1 Jul 2022 • Kamila Zdybał, Giuseppe D'Alessio, Antonio Attili, Axel Coussement, James C. Sutherland, Alessandro Parente
In this paper, we show that PCA applied in local clusters of data (local PCA) is capable of detecting the intrinsic parameterization of the thermo-chemical state-space.