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10/27/2021
Multi-fidelity data fusion through parameter space reduction with applications to automotive engineering
Multi-fidelity models are of great importance due to their capability of...
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08/12/2021
Deep Learning for Real-Time Aerodynamic Evaluations of Arbitrary Vehicle Shapes
The aerodynamic optimization process of cars requires multiple iteration...
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07/20/2021
Hybrid neural network reduced order modelling for turbulent flows with geometric parameters
Geometrically parametrized Partial Differential Equations are nowadays w...
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06/12/2020
Parametric solutions of turbulent incompressible flows in OpenFOAM via the proper generalised decomposition
An a priori reduced order method based on the proper generalised decompo...
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