2 papers
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
A Discrete Immersed Boundary Method for the numerical simulation of heat transfer in compressible flows
Hamza Riahi, Eric Goncalves, Marcello Meldi
In the present study, a discrete forcing Immersed Boundary Method (IBM) is proposed for the numerical simulation of high-speed flow problems including heat exchange. The flow field…