FRESCA, STEFANIA

FRESCA, STEFANIA  

DIPARTIMENTO DI MATEMATICA  

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Risultati 1 - 15 di 15 (tempo di esecuzione: 0.048 secondi).
Titolo Data di pubblicazione Autori File
A Comprehensive Deep Learning-Based Approach to Reduced Order Modeling of Nonlinear Time-Dependent Parametrized PDEs 1-gen-2021 Fresca, StefaniaDede’, LucaManzoni, Andrea
Approximation bounds for convolutional neural networks in operator learning 1-gen-2023 Franco, Nicola RaresFresca, StefaniaManzoni, AndreaZunino, Paolo
Deep learning-based reduced order models for the real-time simulation of the nonlinear dynamics of microstructures 1-gen-2022 Fresca, SGobat, GFrangi, AManzoni, A +
Deep learning-based reduced order models in cardiac electrophysiology 1-gen-2020 Fresca S.Manzoni A.Dede' L.Quarteroni A.
Deep-HyROMnet: A Deep Learning-Based Operator Approximation for Hyper-Reduction of Nonlinear Parametrized PDEs 1-gen-2022 Cicci, LFresca, SManzoni, A
Long-time prediction of nonlinear parametrized dynamical systems by deep learning-based reduced order models 1-gen-2023 Fresca, StefaniaFatone, FedericoManzoni, Andrea
Modelling the Periodic Response of Micro-Electromechanical Systems through Deep Learning-Based Approaches 1-gen-2023 Fresca S.Frangi A. +
POD-DL-ROM: Enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decomposition 1-gen-2022 Fresca S.Manzoni A.
POD-Enhanced Deep Learning-Based Reduced Order Models for the Real-Time Simulation of Cardiac Electrophysiology in the Left Atrium 1-gen-2021 Fresca, StefaniaManzoni, AndreaDedè, LucaQuarteroni, Alfio
Projection-based reduced order models for parameterized nonlinear time-dependent problems arising in cardiac mechanics 1-gen-2023 Cicci, LudovicaFresca, StefaniaPagani, StefanoManzoni, AndreaQuarteroni, Alfio
Real-time simulation of parameter-dependent fluid flows through deep learning-based reduced order models 1-gen-2021 Fresca S.Manzoni A.
Reduced order modeling of nonlinear microstructures through Proper Orthogonal Decomposition 1-gen-2022 Gobat G.Opreni A.Fresca S.Manzoni A.Frangi A.
Reduced Order Modeling of Nonlinear Vibrating Multiphysics Microstructures with Deep Learning-Based Approaches 1-gen-2023 Gobat, GiorgioFresca, StefaniaManzoni, AndreaFrangi, Attilio
Reduced order modeling of parametrized systems through autoencoders and SINDy approach: continuation of periodic solutions 1-gen-2023 Paolo ContiGiorgio GobatStefania FrescaAndrea ManzoniAttilio Frangi
Uncertainty quantification for nonlinear solid mechanics using reduced order models with Gaussian process regression 1-gen-2023 Cicci L.Fresca S.Guo M.Manzoni A.Zunino P.