Paolo Zunino - RankMe

51 papers C 1Journal 45Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Deep orthogonal decomposition: a continuously adaptive neural network approach to model order reduction of parametrized partial differential equations. Adv. Comput. Math. Nicola Rares Franco, Andrea Manzoni, Paolo Zunino, Jan S. Hesthaven
2026	J	`jnl`	Numerical solution of mixed-dimensional PDEs using a neural preconditioner. Comput. Math. Appl. Nunzio Dimola, Nicola Rares Franco, Paolo Zunino
2025	J	`jnl`	Mathematical modeling and sensitivity analysis of hypoxia-activated drugs. CoRR Alessandro Coclite, Riccardo Montanelli Eccher, Luca Possenti, Piermario Vitullo, Paolo Zunino
2025	J	`jnl`	Model reduction of parametric ordinary differential equations via autoencoders: structure-preserving latent dynamics and convergence analysis. CoRR Enrico Ballini, Marco Gambarini, Alessio Fumagalli, Luca Formaggia, Anna Scotti, Paolo Zunino
2025	J	`jnl`	Neural Preconditioning via Krylov Subspace Geometry. CoRR Nunzio Dimola, Alessandro Coclite, Paolo Zunino
2025	J	`jnl`	Numerical Solution of Mixed-Dimensional PDEs Using a Neural Preconditioner. CoRR Nunzio Dimola, Nicola Rares Franco, Paolo Zunino
2025	J	`jnl`	Patient-specific microvascular computational modeling for estimating radiotherapy outcomes. Comput. Biol. Medicine Sophie Materne, Luca Possenti, Francesco Pisani, Piermario Vitullo, Alessandra Catalano, Nicola Iacovelli, Marzia Franceschini, Anna Cavallo, Alessandro Cicchetti, Paolo Zunino, Tiziana Rancati
2025	J	`jnl`	Physics-Informed Learning of Microvascular Flow Models using Graph Neural Networks. CoRR Paolo Botta, Piermario Vitullo, Thomas Ventimiglia, Andreas Linninger, Paolo Zunino
2024	J	`jnl`	Application of Deep Learning Reduced-Order Modeling for Single-Phase Flow in Faulted Porous Media. CoRR Enrico Ballini, Luca Formaggia, Alessio Fumagalli, Anna Scotti, Paolo Zunino
2024	J	`jnl`	Deep learning enhanced cost-aware multi-fidelity uncertainty quantification of a computational model for radiotherapy. CoRR Piermario Vitullo, Nicola Rares Franco, Paolo Zunino
2024	J	`jnl`	Deep orthogonal decomposition: a continuously adaptive data-driven approach to model order reduction. CoRR Nicola Rares Franco, Andrea Manzoni, Paolo Zunino, Jan S. Hesthaven
2024	J	`jnl`	Modeling hypoxia-induced radiation resistance and the impact of radiation sources. Comput. Biol. Medicine Luca Possenti, Piermario Vitullo, Alessandro Cicchetti, Paolo Zunino, Tiziana Rancati
2024	J	`jnl`	On the latent dimension of deep autoencoders for reduced order modeling of PDEs parametrized by random fields. Adv. Comput. Math. Nicola Rares Franco, Daniel Fraulin, Andrea Manzoni, Paolo Zunino
2024	J	`jnl`	Patient-specific prediction of glioblastoma growth via reduced order modeling and neural networks. CoRR D. Cerrone, D. Riccobelli, Piermario Vitullo, F. Ballarin, J. Falco, F. Acerbi, A. Manzoni, Paolo Zunino, Pasquale Ciarletta
2024	J	`jnl`	Recurrent Deep Kernel Learning of Dynamical Systems. CoRR Nicolò Botteghi, Paolo Motta, Andrea Manzoni, Paolo Zunino, Mengwu Guo
2023	C	`conf`	A tissue-aware simulation framework for [18F]FLT spatiotemporal uptake in pancreatic ductal adenocarcinoma. CIBCB Lara Cavinato, Jimin Hong, Stefan Reinhard, Martin Wartenberg, Paolo Zunino, Andrea Manzoni, Francesca Ieva, Kuangyu Shi
2023	J	`jnl`	Approximation bounds for convolutional neural networks in operator learning. Neural Networks Nicola Rares Franco, Stefania Fresca, Andrea Manzoni, Paolo Zunino
2023	J	`jnl`	Deep learning based reduced order modeling of Darcy flow systems with local mass conservation. CoRR Wietse M. Boon, Nicola R. Franco, Alessio Fumagalli, Paolo Zunino
2023	J	`jnl`	Mesh-Informed Neural Networks for Operator Learning in Finite Element Spaces. J. Sci. Comput. Nicola Rares Franco, Andrea Manzoni, Paolo Zunino
2023	J	`jnl`	Nonlinear model order reduction for problems with microstructure using mesh informed neural networks. CoRR Piermario Vitullo, Alessio Colombo, Nicola Rares Franco, Andrea Manzoni, Paolo Zunino
2023	J	`jnl`	On the latent dimension of deep autoencoders for reduced order modeling of PDEs parametrized by random fields. CoRR Nicola Rares Franco, Daniel Fraulin, Andrea Manzoni, Paolo Zunino
2023	J	`jnl`	Reduced Lagrange multiplier approach for non-matching coupling of mixed-dimensional domains. CoRR Luca Heltai, Paolo Zunino
2023	J	`jnl`	Robust Preconditioning of mixed-dimensional PDEs on 3d-1d domains coupled with Lagrange multipliers. CoRR Nunzio Dimola, Miroslav Kuchta, Kent-André Mardal, Paolo Zunino
2023	J	`jnl`	Uncertainty quantification for nonlinear solid mechanics using reduced order models with Gaussian process regression. Comput. Math. Appl. Ludovica Cicci, Stefania Fresca, Mengwu Guo, Andrea Manzoni, Paolo Zunino
2023	J	`jnl`	Uncertainty quantification for nonlinear solid mechanics using reduced order models with Gaussian process regression. CoRR Ludovica Cicci, Stefania Fresca, Mengwu Guo, Andrea Manzoni, Paolo Zunino
2022	J	`jnl`	A Multiscale Poromechanics Model Integrating Myocardial Perfusion and the Epicardial Coronary Vessels. SIAM J. Appl. Math. Nicolás Alejandro Barnafi Wittwer, Simone Di Gregorio, Luca Dedè, Paolo Zunino, Christian Vergara, Alfio Quarteroni
2022	J	`jnl`	A deep learning approach to Reduced Order Modelling of parameter dependent partial differential equations. Math. Comput. Nicola R. Franco, Andrea Manzoni, Paolo Zunino
2022	J	`jnl`	Approximation bounds for convolutional neural networks in operator learning. CoRR Nicola Rares Franco, Stefania Fresca, Andrea Manzoni, Paolo Zunino
2022	J	`jnl`	Learning Operators with Mesh-Informed Neural Networks. CoRR Nicola Rares Franco, Andrea Manzoni, Paolo Zunino
2021	J	`jnl`	A Deep Learning approach to Reduced Order Modelling of Parameter Dependent Partial Differential Equations. CoRR Nicola R. Franco, Andrea Manzoni, Paolo Zunino
2021	J	`jnl`	A computational model applied to myocardial perfusion in the human heart: From large coronaries to microvasculature. J. Comput. Phys. Simone Di Gregorio, Marco Fedele, Gianluca Pontone, Antonio F. Corno, Paolo Zunino, Christian Vergara, Alfio Quarteroni
2021	J	`jnl`	Analysis and Approximation of Mixed-Dimensional PDEs on 3D-1D Domains Coupled with Lagrange Multipliers. SIAM J. Numer. Anal. Miroslav Kuchta, Federica Laurino, Kent-André Mardal, Paolo Zunino
2021	J	`jnl`	Learning High-Order Interactions via Targeted Pattern Search. CoRR Michela Carlotta Massi, Nicola R. Franco, Francesca Ieva, Andrea Manzoni, Anna Maria Paganoni, Paolo Zunino
2021	J	`jnl`	Mathematical analysis and numerical approximation of a general linearized poro-hyperelastic model. Comput. Math. Appl. Nicolás A. Barnafi, Paolo Zunino, Luca Dedè, Alfio Quarteroni
2020	J	`jnl`	Analysis and approximation of mixed-dimensional PDEs on 3D-1D domains coupled with Lagrange multipliers. CoRR Miroslav Kuchta, Federica Laurino, Kent-André Mardal, Paolo Zunino
2020	J	`jnl`	Iterative splitting schemes for a soft material poromechanics model. CoRR Jakub Wiktor Both, Nicolás A. Barnafi, Florin A. Radu, Paolo Zunino, Alfio Quarteroni
2019	—	`conf`	A Mixed Dimensional Model for the Interaction of a Well with a Poroelastic Material. ENUMATH Daniele Cerroni, Florin A. Radu, Paolo Zunino
2019	—	`conf`	A Posteriori Model Error Analysis of 3D-1D Coupled PDEs. ENUMATH Federica Laurino, Stefano Brambilla, Paolo Zunino
2018	J	`jnl`	A Lagrange multiplier method for a Stokes-Biot fluid-poroelastic structure interaction model. Numerische Mathematik Ilona Ambartsumyan, Eldar Khattatov, Ivan Yotov, Paolo Zunino
2015	—	`conf`	Theory and application of arterial tissue in-host remodelling. EMBC A. Valentin, D. Notaro, Paolo Zunino, R. Allen, D. Ambrosi, Yadong Wang, A. M. Robertson
2014	J	`jnl`	Computational models for fluid exchange between microcirculation and tissue interstitium. Networks Heterog. Media Laura Cattaneo, Paolo Zunino
2014	—	`conf`	Simulation of Flow in Fractured Poroelastic Media: A Comparison of Different Discretization Approaches. FDM Ilona Ambartsumyan, Eldar Khattatov, Ivan Yotov, Paolo Zunino
2013	—	`conf`	Numerical Investigation of Convergence Rates for the FEM Approximation of 3D-1D Coupled Problems. ENUMATH Laura Cattaneo, Paolo Zunino
2011	J	`jnl`	Controlled Release with Finite Dissolution Rate. SIAM J. Appl. Math. Paolo Biscari, Sara Minisini, Dario Pierotti, Gianmaria Verzini, Paolo Zunino
2011	J	`jnl`	Model Reduction Strategies Enable Computational Analysis of Controlled Drug Release from Cardiovascular Stents. SIAM J. Appl. Math. Carlo D'Angelo, Paolo Zunino, Azzurra Porpora, Stefano Morlacchi, Francesco Migliavacca
2009	J	`jnl`	A Finite Element Method Based on Weighted Interior Penalties for Heterogeneous Incompressible Flows. SIAM J. Numer. Anal. Carlo D'Angelo, Paolo Zunino
2009	J	`jnl`	Discontinuous Galerkin Methods Based on Weighted Interior Penalties for Second Order PDEs with Non-smooth Coefficients. J. Sci. Comput. Paolo Zunino
2008	J	`jnl`	Multiscale Boundary Conditions for Drug Release from Cardiovascular Stents. Multiscale Model. Simul. Christian Vergara, Paolo Zunino
2006	J	`jnl`	A Domain Decomposition Method Based on Weighted Interior Penalties for Advection-Diffusion-Reaction Problems. SIAM J. Numer. Anal. Erik Burman, Paolo Zunino
2002	J	`jnl`	A Domain Decomposition Method for Advection-Diffusion Processes with Application to Blood Solutes. SIAM J. Sci. Comput. Alfio Quarteroni, Alessandro Veneziani, Paolo Zunino
2002	J	`jnl`	Mathematical and Numerical Modeling of Solute Dynamics in Blood Flow and Arterial Walls. SIAM J. Numer. Anal. Alfio Quarteroni, Alessandro Veneziani, Paolo Zunino