Paolo Zunino

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 30

Top Topics

Computational Models

Top Venues

Comput. Math. Appl.

SIAM J. Numer. Anal.

Publications

Enrico Ballini, Luca Formaggia, Alessio Fumagalli, Anna Scotti, Paolo Zunino
Application of Deep Learning Reduced-Order Modeling for Single-Phase Flow in Faulted Porous Media. CoRR (2024)
Nicola Rares Franco, Daniel Fraulin, Andrea Manzoni, Paolo Zunino
On the latent dimension of deep autoencoders for reduced order modeling of PDEs parametrized by random fields. Adv. Comput. Math. 50 (5) (2024)
Nicolò Botteghi, Paolo Motta, Andrea Manzoni, Paolo Zunino, Mengwu Guo
Recurrent Deep Kernel Learning of Dynamical Systems. CoRR (2024)
Nicola Rares Franco, Andrea Manzoni, Paolo Zunino, Jan S. Hesthaven
Deep orthogonal decomposition: a continuously adaptive data-driven approach to model order reduction. CoRR (2024)
Luca Possenti, Piermario Vitullo, Alessandro Cicchetti, Paolo Zunino, Tiziana Rancati
Modeling hypoxia-induced radiation resistance and the impact of radiation sources. Comput. Biol. Medicine 173 (2024)
Piermario Vitullo, Nicola Rares Franco, Paolo Zunino
Deep learning enhanced cost-aware multi-fidelity uncertainty quantification of a computational model for radiotherapy. CoRR (2024)
Lara Cavinato, Jimin Hong, Stefan Reinhard, Martin Wartenberg, Paolo Zunino, Andrea Manzoni, Francesca Ieva, Kuangyu Shi
A tissue-aware simulation framework for [18F]FLT spatiotemporal uptake in pancreatic ductal adenocarcinoma. CIBCB (2023)
Wietse M. Boon, Nicola R. Franco, Alessio Fumagalli, Paolo Zunino
Deep learning based reduced order modeling of Darcy flow systems with local mass conservation. CoRR (2023)
Nicola Rares Franco, Daniel Fraulin, Andrea Manzoni, Paolo Zunino
On the latent dimension of deep autoencoders for reduced order modeling of PDEs parametrized by random fields. CoRR (2023)
Nicola Rares Franco, Andrea Manzoni, Paolo Zunino
Mesh-Informed Neural Networks for Operator Learning in Finite Element Spaces. J. Sci. Comput. 97 (2) (2023)
Luca Heltai, Paolo Zunino
Reduced Lagrange multiplier approach for non-matching coupling of mixed-dimensional domains. CoRR (2023)
Nunzio Dimola, Miroslav Kuchta, Kent-André Mardal, Paolo Zunino
Robust Preconditioning of mixed-dimensional PDEs on 3d-1d domains coupled with Lagrange multipliers. CoRR (2023)
Ludovica Cicci, Stefania Fresca, Mengwu Guo, Andrea Manzoni, Paolo Zunino
Uncertainty quantification for nonlinear solid mechanics using reduced order models with Gaussian process regression. Comput. Math. Appl. 149 (2023)
Nicola Rares Franco, Stefania Fresca, Andrea Manzoni, Paolo Zunino
Approximation bounds for convolutional neural networks in operator learning. Neural Networks 161 (2023)
Ludovica Cicci, Stefania Fresca, Mengwu Guo, Andrea Manzoni, Paolo Zunino
Uncertainty quantification for nonlinear solid mechanics using reduced order models with Gaussian process regression. CoRR (2023)
Piermario Vitullo, Alessio Colombo, Nicola Rares Franco, Andrea Manzoni, Paolo Zunino
Nonlinear model order reduction for problems with microstructure using mesh informed neural networks. CoRR (2023)
Nicola R. Franco, Andrea Manzoni, Paolo Zunino
A deep learning approach to Reduced Order Modelling of parameter dependent partial differential equations. Math. Comput. 92 (340) (2022)
Nicolás Alejandro Barnafi Wittwer, Simone Di Gregorio, Luca Dedè, Paolo Zunino, Christian Vergara, Alfio Quarteroni
A Multiscale Poromechanics Model Integrating Myocardial Perfusion and the Epicardial Coronary Vessels. SIAM J. Appl. Math. 82 (4) (2022)
Nicola Rares Franco, Andrea Manzoni, Paolo Zunino
Learning Operators with Mesh-Informed Neural Networks. CoRR (2022)
Nicola Rares Franco, Stefania Fresca, Andrea Manzoni, Paolo Zunino
Approximation bounds for convolutional neural networks in operator learning. CoRR (2022)
Nicola R. Franco, Andrea Manzoni, Paolo Zunino
A Deep Learning approach to Reduced Order Modelling of Parameter Dependent Partial Differential Equations. CoRR (2021)
Michela Carlotta Massi, Nicola R. Franco, Francesca Ieva, Andrea Manzoni, Anna Maria Paganoni, Paolo Zunino
Learning High-Order Interactions via Targeted Pattern Search. CoRR (2021)
Simone Di Gregorio, Marco Fedele, Gianluca Pontone, Antonio F. Corno, Paolo Zunino, Christian Vergara, Alfio Quarteroni
A computational model applied to myocardial perfusion in the human heart: From large coronaries to microvasculature. J. Comput. Phys. 424 (2021)
Nicolas A. Barnafi, Paolo Zunino, Luca Dedè, Alfio Quarteroni
Mathematical analysis and numerical approximation of a general linearized poro-hyperelastic model. Comput. Math. Appl. 91 (2021)
Miroslav Kuchta, Federica Laurino, Kent-André Mardal, Paolo Zunino
Analysis and Approximation of Mixed-Dimensional PDEs on 3D-1D Domains Coupled with Lagrange Multipliers. SIAM J. Numer. Anal. 59 (1) (2021)
Jakub Wiktor Both, Nicolas A. Barnafi, Florin A. Radu, Paolo Zunino, Alfio Quarteroni
Iterative splitting schemes for a soft material poromechanics model. CoRR (2020)
Miroslav Kuchta, Federica Laurino, Kent-André Mardal, Paolo Zunino
Analysis and approximation of mixed-dimensional PDEs on 3D-1D domains coupled with Lagrange multipliers. CoRR (2020)
Daniele Cerroni, Florin A. Radu, Paolo Zunino
A Mixed Dimensional Model for the Interaction of a Well with a Poroelastic Material. ENUMATH (2019)
Federica Laurino, Stefano Brambilla, Paolo Zunino
A Posteriori Model Error Analysis of 3D-1D Coupled PDEs. ENUMATH (2019)
Ilona Ambartsumyan, Eldar Khattatov, Ivan Yotov, Paolo Zunino
A Lagrange multiplier method for a Stokes-Biot fluid-poroelastic structure interaction model. Numerische Mathematik 140 (2) (2018)
A. Valentin, D. Notaro, Paolo Zunino, R. Allen, D. Ambrosi, Y. Wang, A. M. Robertson
Theory and application of arterial tissue in-host remodelling. EMBC (2015)
Laura Cattaneo, Paolo Zunino
Computational models for fluid exchange between microcirculation and tissue interstitium. Networks Heterog. Media 9 (1) (2014)
Ilona Ambartsumyan, Eldar Khattatov, Ivan Yotov, Paolo Zunino
Simulation of Flow in Fractured Poroelastic Media: A Comparison of Different Discretization Approaches. FDM (2014)
Laura Cattaneo, Paolo Zunino
Numerical Investigation of Convergence Rates for the FEM Approximation of 3D-1D Coupled Problems. ENUMATH (2013)
Paolo Biscari, Sara Minisini, Dario Pierotti, Gianmaria Verzini, Paolo Zunino
Controlled Release with Finite Dissolution Rate. SIAM J. Appl. Math. 71 (3) (2011)
Carlo D'Angelo, Paolo Zunino, Azzurra Porpora, Stefano Morlacchi, Francesco Migliavacca
Model Reduction Strategies Enable Computational Analysis of Controlled Drug Release from Cardiovascular Stents. SIAM J. Appl. Math. 71 (6) (2011)
Carlo D'Angelo, Paolo Zunino
A Finite Element Method Based on Weighted Interior Penalties for Heterogeneous Incompressible Flows. SIAM J. Numer. Anal. 47 (5) (2009)
Paolo Zunino
Discontinuous Galerkin Methods Based on Weighted Interior Penalties for Second Order PDEs with Non-smooth Coefficients. J. Sci. Comput. 38 (1) (2009)
Christian Vergara, Paolo Zunino
Multiscale Boundary Conditions for Drug Release from Cardiovascular Stents. Multiscale Model. Simul. 7 (2) (2008)
Erik Burman, Paolo Zunino
A Domain Decomposition Method Based on Weighted Interior Penalties for Advection-Diffusion-Reaction Problems. SIAM J. Numer. Anal. 44 (4) (2006)
Alfio Quarteroni, Alessandro Veneziani, Paolo Zunino
Mathematical and Numerical Modeling of Solute Dynamics in Blood Flow and Arterial Walls. SIAM J. Numer. Anal. 39 (5) (2002)
Alfio Quarteroni, Alessandro Veneziani, Paolo Zunino
A Domain Decomposition Method for Advection-Diffusion Processes with Application to Blood Solutes. SIAM J. Sci. Comput. 23 (6) (2002)