DIPARTIMENTO DI MATEMATICA
A Comprehensive Deep Learning-Based Approach to Reduced Order Modeling of Nonlinear Time-Dependent Parametrized PDEs
2021-01-01 Fresca, Stefania; Dede’, Luca; Manzoni, Andrea
Deep learning-based reduced order models for the real-time simulation of the nonlinear dynamics of microstructures
2022-01-01 Fresca, S; Gobat, G; Fedeli, P; Frangi, A; Manzoni, A
Deep learning-based reduced order models in cardiac electrophysiology
2020-01-01 Fresca, S.; Manzoni, A.; Dede', L.; Quarteroni, A.
POD-DL-ROM: Enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decomposition
2022-01-01 Fresca, S.; Manzoni, A.
POD-Enhanced Deep Learning-Based Reduced Order Models for the Real-Time Simulation of Cardiac Electrophysiology in the Left Atrium
2021-01-01 Fresca, Stefania; Manzoni, Andrea; Dedè, Luca; Quarteroni, Alfio
Projection-based reduced order models for parameterized nonlinear time-dependent problems arising in cardiac mechanics
2022-01-01 Cicci, Ludovica; Fresca, Stefania; Pagani, Stefano; Manzoni, Andrea; Quarteroni, Alfio
Real-time simulation of parameter-dependent fluid flows through deep learning-based reduced order models
2021-01-01 Fresca, S.; Manzoni, A.
Reduced order modeling of nonlinear microstructures through Proper Orthogonal Decomposition
2022-01-01 Gobat, G.; Opreni, A.; Fresca, S.; Manzoni, A.; Frangi, A.