Mathematical and Numerical Modeling of Solute Dynamics in Blood Flow and Arterial Walls. - Alfio Quarteroni; Alessandro Veneziani; Paolo Zunino (SIAM J. Numer. Anal., 2002)

A Domain Decomposition Method for Advection-Diffusion Processes with Application to Blood Solutes. - Alfio Quarteroni; Alessandro Veneziani; Paolo Zunino (SIAM J. Sci. Comput., 2002)

A Domain Decomposition Method Based on Weighted Interior Penalties for Advection-Diffusion-Reaction Problems. - Erik Burman; Paolo Zunino (SIAM J. Numer. Anal., 2006)

Multiscale Boundary Conditions for Drug Release from Cardiovascular Stents. - Christian Vergara; Paolo Zunino (Multiscale Model. Simul., 2008)

Discontinuous Galerkin Methods Based on Weighted Interior Penalties for Second Order PDEs with Non-smooth Coefficients. - Paolo Zunino (J. Sci. Comput., 2009)

A Finite Element Method Based on Weighted Interior Penalties for Heterogeneous Incompressible Flows. - Carlo D'Angelo; Paolo Zunino (SIAM J. Numer. Anal., 2009)

Controlled Release with Finite Dissolution Rate. - Paolo Biscari; Sara Minisini; Dario Pierotti; Gianmaria Verzini; Paolo Zunino (SIAM J. Appl. Math., 2011)

Model Reduction Strategies Enable Computational Analysis of Controlled Drug Release from Cardiovascular Stents. - Carlo D'Angelo; Paolo Zunino; Azzurra Porpora; Stefano Morlacchi; Francesco Migliavacca (SIAM J. Appl. Math., 2011)

Numerical Investigation of Convergence Rates for the FEM Approximation of 3D-1D Coupled Problems. - Laura Cattaneo; Paolo Zunino (ENUMATH, 2013)

Simulation of Flow in Fractured Poroelastic Media: A Comparison of Different Discretization Approaches. - Ilona Ambartsumyan; Eldar Khattatov; Ivan Yotov; Paolo Zunino (FDM, 2014)

Computational models for fluid exchange between microcirculation and tissue interstitium. - Laura Cattaneo; Paolo Zunino (Networks Heterog. Media, 2014)

Theory and application of arterial tissue in-host remodelling. - A. Valentin; D. Notaro; Paolo Zunino; R. Allen; D. Ambrosi; Yadong Wang; A. M. Robertson (EMBC, 2015)

A Lagrange multiplier method for a Stokes-Biot fluid-poroelastic structure interaction model. - Ilona Ambartsumyan; Eldar Khattatov; Ivan Yotov; Paolo Zunino (Numerische Mathematik, 2018)

A Mixed Dimensional Model for the Interaction of a Well with a Poroelastic Material. - Daniele Cerroni; Florin A. Radu; Paolo Zunino (ENUMATH, 2019)

A Posteriori Model Error Analysis of 3D-1D Coupled PDEs. - Federica Laurino; Stefano Brambilla; Paolo Zunino (ENUMATH, 2019)

Iterative splitting schemes for a soft material poromechanics model. - Jakub Wiktor Both; Nicolás A. Barnafi; Florin A. Radu; Paolo Zunino; Alfio Quarteroni (CoRR, 2020)

Mathematical analysis and numerical approximation of a general linearized poro-hyperelastic model. - Nicolás A. Barnafi; Paolo Zunino; Luca Dedè; Alfio Quarteroni (Comput. Math. Appl., 2021)

Learning High-Order Interactions via Targeted Pattern Search. - Michela Carlotta Massi; Nicola R. Franco; Francesca Ieva; Andrea Manzoni; Anna Maria Paganoni; Paolo Zunino (CoRR, 2021)

A computational model applied to myocardial perfusion in the human heart: From large coronaries to microvasculature. - Simone Di Gregorio; Marco Fedele; Gianluca Pontone; Antonio F. Corno; Paolo Zunino; Christian Vergara; Alfio Quarteroni (J. Comput. Phys., 2021)

Analysis and Approximation of Mixed-Dimensional PDEs on 3D-1D Domains Coupled with Lagrange Multipliers. - Miroslav Kuchta; Federica Laurino; Kent-André Mardal; Paolo Zunino (SIAM J. Numer. Anal., 2021)

Learning Operators with Mesh-Informed Neural Networks. - Nicola Rares Franco; Andrea Manzoni; Paolo Zunino (CoRR, 2022)

A Multiscale Poromechanics Model Integrating Myocardial Perfusion and the Epicardial Coronary Vessels. - Nicolás Alejandro Barnafi Wittwer; Simone Di Gregorio; Luca Dedè; Paolo Zunino; Christian Vergara; Alfio Quarteroni (SIAM J. Appl. Math., 2022)

A deep learning approach to Reduced Order Modelling of parameter dependent partial differential equations. - Nicola R. Franco; Andrea Manzoni; Paolo Zunino (Math. Comput., 2022)

A tissue-aware simulation framework for [18F]FLT spatiotemporal uptake in pancreatic ductal adenocarcinoma. - Lara Cavinato; Jimin Hong; Stefan Reinhard; Martin Wartenberg; Paolo Zunino; Andrea Manzoni; Francesca Ieva; Kuangyu Shi (CIBCB, 2023)

Reduced Lagrange multiplier approach for non-matching coupling of mixed-dimensional domains. - Luca Heltai; Paolo Zunino (CoRR, 2023)

Robust Preconditioning of mixed-dimensional PDEs on 3d-1d domains coupled with Lagrange multipliers. - Nunzio Dimola; Miroslav Kuchta; Kent-André Mardal; Paolo Zunino (CoRR, 2023)

Nonlinear model order reduction for problems with microstructure using mesh informed neural networks. - Piermario Vitullo; Alessio Colombo; Nicola Rares Franco; Andrea Manzoni; Paolo Zunino (CoRR, 2023)

Deep learning based reduced order modeling of Darcy flow systems with local mass conservation. - Wietse M. Boon; Nicola R. Franco; Alessio Fumagalli; Paolo Zunino (CoRR, 2023)

Approximation bounds for convolutional neural networks in operator learning. - Nicola Rares Franco; Stefania Fresca; Andrea Manzoni; Paolo Zunino (Neural Networks, 2023)

Uncertainty quantification for nonlinear solid mechanics using reduced order models with Gaussian process regression. - Ludovica Cicci; Stefania Fresca; Mengwu Guo; Andrea Manzoni; Paolo Zunino (Comput. Math. Appl., 2023)

Mesh-Informed Neural Networks for Operator Learning in Finite Element Spaces. - Nicola Rares Franco; Andrea Manzoni; Paolo Zunino (J. Sci. Comput., 2023)

Modeling hypoxia-induced radiation resistance and the impact of radiation sources. - Luca Possenti; Piermario Vitullo; Alessandro Cicchetti; Paolo Zunino; Tiziana Rancati (Comput. Biol. Medicine, 2024)

Deep learning enhanced cost-aware multi-fidelity uncertainty quantification of a computational model for radiotherapy. - Piermario Vitullo; Nicola Rares Franco; Paolo Zunino (CoRR, 2024)

Application of Deep Learning Reduced-Order Modeling for Single-Phase Flow in Faulted Porous Media. - Enrico Ballini; Luca Formaggia; Alessio Fumagalli; Anna Scotti; Paolo Zunino (CoRR, 2024)

Deep orthogonal decomposition: a continuously adaptive data-driven approach to model order reduction. - Nicola Rares Franco; Andrea Manzoni; Paolo Zunino; Jan S. Hesthaven (CoRR, 2024)

Recurrent Deep Kernel Learning of Dynamical Systems. - Nicolò Botteghi; Paolo Motta; Andrea Manzoni; Paolo Zunino; Mengwu Guo (CoRR, 2024)

Patient-specific prediction of glioblastoma growth via reduced order modeling and neural networks. - D. Cerrone; D. Riccobelli; Piermario Vitullo; F. Ballarin; J. Falco; F. Acerbi; A. Manzoni; Paolo Zunino; Pasquale Ciarletta (CoRR, 2024)

On the latent dimension of deep autoencoders for reduced order modeling of PDEs parametrized by random fields. - Nicola Rares Franco; Daniel Fraulin; Andrea Manzoni; Paolo Zunino (Adv. Comput. Math., 2024)

Patient-specific microvascular computational modeling for estimating radiotherapy outcomes. - Sophie Materne; Luca Possenti; Francesco Pisani; Piermario Vitullo; Alessandra Catalano; Nicola Iacovelli; Marzia Franceschini; Anna Cavallo; Alessandro Cicchetti; Paolo Zunino; Tiziana Rancati (Comput. Biol. Medicine, 2025)

Numerical Solution of Mixed-Dimensional PDEs Using a Neural Preconditioner. - Nunzio Dimola; Nicola Rares Franco; Paolo Zunino (CoRR, 2025)

Neural Preconditioning via Krylov Subspace Geometry. - Nunzio Dimola; Alessandro Coclite; Paolo Zunino (CoRR, 2025)

Mathematical modeling and sensitivity analysis of hypoxia-activated drugs. - Alessandro Coclite; Riccardo Montanelli Eccher; Luca Possenti; Piermario Vitullo; Paolo Zunino (CoRR, 2025)