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12/20/2022
Non-intrusive reduced order models for the accurate prediction of bifurcating phenomena in compressible fluid dynamics
The present works is focused on studying bifurcating solutions in compre...
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12/15/2022
Deep learning-based reduced-order methods for fast transient dynamics
In recent years, large-scale numerical simulations played an essential r...
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01/14/2022
Reduced order modeling for spectral element methods: current developments in Nektar++ and further perspectives
In this paper, we present recent efforts to develop reduced order modeli...
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10/18/2021
Neural-network learning of SPOD latent dynamics
We aim to reconstruct the latent space dynamics of high dimensional syst...
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08/27/2020
