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physics.flu-dyn2025
Multi-fidelity Ensemble Kalman Filter algorithms enhanced by Convolutional Neural Networks
Tom Moussie, Paolo Errante, Marcello Meldi
The present research work proposes advancement for Data Assimilation strategies using Convolutional Neural Networks (CNN). More precisely, multi-fidelity and multi-level algorithms…
physics.flu-dyn2023
Statistical inference of upstream turbulence intensity for the flow around a bluff body with massive separation
Tom Moussie, Paolo Errante, Marcello Meldi
The Benchmarck on the Aerodynamics of a Rectangular 5:1 Cylinder is studied using a data-driven technique which bridges numerical simulation and available experimental results. Bec…