Sfoglia per Autore
A Reduced Order Model for Domain Decompositions with Non-conforming Interfaces
2024-01-01 Zappon, Elena; Manzoni, Andrea; Gervasio, Paola; Quarteroni, Alfio
A non-conforming-in-space numerical framework for realistic cardiac electrophysiological outputs
2024-01-01 Zappon, Elena; Manzoni, Andrea; Quarteroni, Alfio
A digital twin framework for civil engineering structures
2024-01-01 Torzoni, Matteo; Tezzele, Marco; Mariani, Stefano; Manzoni, Andrea; Willcox, Karen E.
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
Nonlinear model order reduction for problems with microstructure using mesh informed neural networks
2024-01-01 Vitullo, P; Colombo, A; Franco, Nr; Manzoni, A; Zunino, P
Multi-fidelity reduced-order surrogate modelling
2024-01-01 Conti, Paolo; Guo, Mengwu; Manzoni, Andrea; Frangi, Attilio; Brunton, Steven L.; Nathan Kutz, J.
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
Damage identification using physics-based datasets: From convolutional to metric-informed damage-sensitive feature extractors
2023-01-01 Torzoni, Matteo; Rosafalco, Luca; Mariani, Stefano; Corigliano, Alberto; Manzoni, Andrea
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
A Deep Neural Network, Multi-fidelity Surrogate Model Approach for Bayesian Model Updating in SHM
2023-01-01 Torzoni, M; Manzoni, A; Mariani, S
Efficient and certified solution of parametrized one-way coupled problems through DEIM-based data projection across non-conforming interfaces
2023-01-01 Zappon, E; Quarteroni, A; Manzoni, A
Mesh-Informed Neural Networks for Operator Learning in Finite Element Spaces
2023-01-01 Franco, N. R.; Manzoni, A.; Zunino, P.
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 ALBERTO
Learning high-order interactions for polygenic risk prediction
2023-01-01 Massi, M. C.; Franco, N. R.; Manzoni, A.; Paganoni, A. M.; Park, H. A.; Hoffmeister, M.; Brenner, H.; Chang-Claude, J.; Ieva, F.; Zunino, P.
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.
A deep learning approach to Reduced Order Modelling of parameter dependent partial differential equations
2023-01-01 Franco, Nicola; Manzoni, Andrea; Zunino, Paolo
A multi-fidelity surrogate model for structural health monitoring exploiting model order reduction and artificial neural networks
2023-01-01 Torzoni, M; Manzoni, A; Mariani, S
A tissue-aware simulation framework for [18F]FLT spatiotemporal uptake in pancreatic ductal adenocarcinoma
2023-01-01 Cavinato, Lara; Hong, Jimin; Reinhard, Stefan; Wartenberg, Martin; Zunino, Paolo; Manzoni, Andrea; Ieva, Francesca; Shi, Kuangyu
Reduced Order Modeling of Nonlinear Vibrating Multiphysics Microstructures with Deep Learning-Based Approaches
2023-01-01 Gobat, Giorgio; Fresca, Stefania; Manzoni, Andrea; Frangi, Attilio
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
Multi-fidelity surrogate modeling using long short-term memory networks
2023-01-01 Conti, Paolo; Guo, Mengwu; Manzoni, Andrea; Hesthaven, Jan S.
Unscented Kalman Filter Empowered by Bayesian Model Evidence for System Identification in Structural Dynamics
2022-01-01 Rosafalco, Luca; Eftekhar Azam, Saeed; Manzoni, Andrea; Corigliano, Alberto; Mariani, Stefano
Enabling supervised learning in structural health monitoring by simulating damaged structure responses through physics based models
2022-01-01 Rosafalco, L.; Manzoni, A.; Mariani, S.; Corigliano, A.
Enhanced Bayesian model updating for structural health monitoring via deep learning
2022-01-01 Torzoni, M.; Manzoni, A.; Mariani, S.
Health Monitoring of Civil Structures: A MCMC Approach Based on a Multi-Fidelity Deep Neural Network Surrogate
2022-01-01 Torzoni, Matteo; Manzoni, Andrea; Mariani, Stefano
A Generative Adversarial Network Based Autoencoder for Structural Health Monitoring
2022-01-01 Colombera, Giorgia; Rosafalco, Luca; Torzoni, Matteo; Gatti, Filippo; Mariani, Stefano; Manzoni, Andrea; Corigliano, Alberto
Deep learning-based reduced order models in cardiac electrophysiology
2022-01-01 Fresca, S.; Manzoni, A.; Dede', L.; Quarteroni, A.
Multi-fidelity regression using artificial neural networks: Efficient approximation of parameter-dependent output quantities
2022-01-01 Guo, M.; Manzoni, A.; Amendt, M.; Conti, P.; Hesthaven, J. S.
A Self-adaptive Hybrid Model/data-Driven Approach to SHM Based on Model Order Reduction and Deep Learning
2022-01-01 Rosafalco, L.; Torzoni, M.; Manzoni, A.; Mariani, S.; Corigliano, A.
Indirect Optimal Control of Advection-Diffusion Fields through Distributed Robotic Swarms
2022-01-01 Sinigaglia, C.; Manzoni, A.; Braghin, F.; Berman, S.
Structural health monitoring of civil structures: A diagnostic framework powered by deep metric learning
2022-01-01 Torzoni, M.; Manzoni, A.; Mariani, S.
SHM under varying environmental conditions: an approach based on model order reduction and deep learning
2022-01-01 Torzoni, Matteo; Rosafalco, Luca; Manzoni, Andrea; Mariani, Stefano; Corigliano, Alberto
Stabilized reduced-order models for unsteady incompressible flows in three-dimensional parametrized domains
2022-01-01 Buoso, S; Manzoni, A; Alkadhi, H; Kurtcuoglu, V
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
Reduced order modeling of nonlinear microstructures through Proper Orthogonal Decomposition
2022-01-01 Gobat, G.; Opreni, A.; Fresca, S.; Manzoni, A.; Frangi, A.
Combined Model Order Reduction Techniques and Artificial Neural Network for Data Assimilation and Damage Detection in Structures
2022-01-01 Rosafalco, L.; Manzoni, A.; Mariani, S.; Corigliano, A.
Fast active thermal cloaking through PDE-constrained optimization and reduced-order modelling
2022-01-01 Sinigaglia, Carlo; Quadrelli, Davide E.; Manzoni, Andrea; Braghin, Francesco
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.
Statistical closure modeling for reduced-order models of stationary systems by the ROMES method
2022-01-01 Pagani, S.; Manzoni, A.; Carlberg, K. T.
Slow Conduction Corridors and Pivot Sites Characterize the Electrical Remodeling in Atrial Fibrillation
2022-01-01 Frontera, A.; Pagani, S.; Limite, L. R.; Peirone, A.; Fioravanti, F.; Enache, B.; Cuellar Silva, J.; Vlachos, K.; Meyer, C.; Montesano, G.; Manzoni, A.; Dede', L.; Quarteroni, A.; Latcu, D. G.; Rossi, P.; Della Bella, P.
A Multi-Fidelity Deep Neural Network Approach to Structural Health Monitoring
2022-01-01 Torzoni, M.; Manzoni, A.; Mariani, S.
Density Control of Large-Scale Particles Swarm Through PDE-Constrained Optimization
2022-01-01 Sinigaglia, C; Manzoni, A; Braghin, F
Deep-HyROMnet: A Deep Learning-Based Operator Approximation for Hyper-Reduction of Nonlinear Parametrized PDEs
2022-01-01 Cicci, L; Fresca, S; Manzoni, A
Parametric reduced order modelling and deep learning to accomplish pattern recognition and regression tasks
2021-01-01 Rosafalco, L.; Manzoni, A.; Mariani, S.; Corigliano, A.
A deep learning approach to metric-based damage localization in structural health monitoring
2021-01-01 Torzoni, M.; Manzoni, A.; Mariani, S.
Dealing with uncertainties in structural damage localization by reduced order modeling and deep learning-based classifiers
2021-01-01 Rosafalco, L.; Manzoni, A.; Mariani, S.; Torzoni, M.; Corigliano, A.
Optimal Control of Partial Differential Equations. Analysis, Approximation, and Applications
2021-01-01 Manzoni, A.; Quarteroni, A.; Salsa, S.
An MCMC approach powered by a multi-fidelity deep neural network surrogate for damage localization in civil structures
2021-01-01 Torzoni, M.; Manzoni, A.; Mariani, S.
Uncertainty Quantification for Parameter dependent Partial Differential Equations using Deep Neural Networks
2021-01-01 Franco, N.; Manzoni, A.; Zunino, P.
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