32 citations · 55 across the 5 of their papers we have counts for
3 papers · 1 filter
Non-intrusive reduced order models for the accurate prediction of bifurcating phenomena in compressible fluid dynamics
Niccolò Tonicello, Andrea Lario, Gianluigi Rozza +1
The present works is focused on studying bifurcating solutions in compressible fluid dynamics. On one side, the physics of the problem is thoroughly investigated using high-fidelit…
Deep learning-based reduced-order methods for fast transient dynamics
Martina Cracco, Giovanni Stabile, Andrea Lario +5
In recent years, large-scale numerical simulations played an essential role in estimating the effects of explosion events in urban environments, for the purpose of ensuring the sec…
Reduced order modeling for spectral element methods: current developments in Nektar++ and further perspectives
Martin W. Hess, Andrea Lario, Gianmarco Mengaldo +1
In this paper, we present recent efforts to develop reduced order modeling (ROM) capabilities for spectral element methods (SEM). Namely, we detail the implementation of ROM for bo…