Sfoglia per Autore
Deep learning-based reduced order models in cardiac electrophysiology
2020-01-01 Fresca, S.; Manzoni, A.; Dede', L.; Quarteroni, A.
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
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
Real-time simulation of parameter-dependent fluid flows through deep learning-based reduced order models
2021-01-01 Fresca, S.; Manzoni, A.
Deep learning-based reduced order models in cardiac electrophysiology
2022-01-01 Fresca, S.; Manzoni, A.; Dede', L.; Quarteroni, A.
Reduced order modeling of nonlinear microstructures through Proper Orthogonal Decomposition
2022-01-01 Gobat, G.; Opreni, A.; Fresca, S.; Manzoni, A.; Frangi, 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.
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-HyROMnet: A Deep Learning-Based Operator Approximation for Hyper-Reduction of Nonlinear Parametrized PDEs
2022-01-01 Cicci, L; Fresca, S; Manzoni, A
Reduced Order Modeling of Nonlinear Vibrating Multiphysics Microstructures with Deep Learning-Based Approaches
2023-01-01 Gobat, Giorgio; Fresca, Stefania; Manzoni, Andrea; Frangi, Attilio
Projection-based reduced order models for parameterized nonlinear time-dependent problems arising in cardiac mechanics
2023-01-01 Cicci, Ludovica; Fresca, Stefania; Pagani, Stefano; Manzoni, Andrea; Quarteroni, Alfio
Modelling the Periodic Response of Micro-Electromechanical Systems through Deep Learning-Based Approaches
2023-01-01 Gobat, G.; Baronchelli, A.; Fresca, S.; Frangi, A.
Long-time prediction of nonlinear parametrized dynamical systems by deep learning-based reduced order models
2023-01-01 Fresca, Stefania; Fatone, Federico; Manzoni, Andrea
Approximation bounds for convolutional neural networks in operator learning
2023-01-01 Franco, Nicola Rares; Fresca, Stefania; Manzoni, Andrea; Zunino, Paolo
Reduced order modeling of parametrized systems through autoencoders and SINDy approach: continuation of periodic solutions
2023-01-01 Conti, Paolo; Gobat, Giorgio; Fresca, Stefania; Manzoni, Andrea; Frangi, Attilio
Deep learning-based surrogate models for parametrized PDEs: Handling geometric variability through graph neural networks
2023-01-01 Franco, Nicola Rares; Fresca, Stefania; Tombari, Filippo; Manzoni, Andrea
Uncertainty quantification for nonlinear solid mechanics using reduced order models with Gaussian process regression
2023-01-01 Cicci, L.; Fresca, S.; Guo, M.; Manzoni, A.; Zunino, P.
Efficient approximation of cardiac mechanics through reduced‐order modeling with deep learning‐based operator approximation
2024-01-01 Cicci, Ludovica; Fresca, Stefania; Manzoni, Andrea; Quarteroni, Alfio
Error estimates for POD-DL-ROMs: a deep learning framework for reduced order modeling of nonlinear parametrized PDEs enhanced by proper orthogonal decomposition
2024-01-01 Brivio, Simone; Fresca, Stefania; Franco, Nicola Rares; Manzoni, Andrea
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