Paolo Zunino

Orcid: 0000-0002-2470-0189

According to our database1, Paolo Zunino authored at least 37 papers between 2002 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
On the latent dimension of deep autoencoders for reduced order modeling of PDEs parametrized by random fields.
Adv. Comput. Math., October, 2024

Recurrent Deep Kernel Learning of Dynamical Systems.
CoRR, 2024

Deep orthogonal decomposition: a continuously adaptive data-driven approach to model order reduction.
CoRR, 2024

Application of Deep Learning Reduced-Order Modeling for Single-Phase Flow in Faulted Porous Media.
CoRR, 2024

Deep learning enhanced cost-aware multi-fidelity uncertainty quantification of a computational model for radiotherapy.
CoRR, 2024

Modeling hypoxia-induced radiation resistance and the impact of radiation sources.
Comput. Biol. Medicine, 2024

2023
Mesh-Informed Neural Networks for Operator Learning in Finite Element Spaces.
J. Sci. Comput., November, 2023

Uncertainty quantification for nonlinear solid mechanics using reduced order models with Gaussian process regression.
Comput. Math. Appl., November, 2023

Approximation bounds for convolutional neural networks in operator learning.
Neural Networks, April, 2023

Deep learning based reduced order modeling of Darcy flow systems with local mass conservation.
CoRR, 2023

Nonlinear model order reduction for problems with microstructure using mesh informed neural networks.
CoRR, 2023

Robust Preconditioning of mixed-dimensional PDEs on 3d-1d domains coupled with Lagrange multipliers.
CoRR, 2023

Reduced Lagrange multiplier approach for non-matching coupling of mixed-dimensional domains.
CoRR, 2023

A tissue-aware simulation framework for [18F]FLT spatiotemporal uptake in pancreatic ductal adenocarcinoma.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2023

2022
A deep learning approach to Reduced Order Modelling of parameter dependent partial differential equations.
Math. Comput., November, 2022

A Multiscale Poromechanics Model Integrating Myocardial Perfusion and the Epicardial Coronary Vessels.
SIAM J. Appl. Math., 2022

Learning Operators with Mesh-Informed Neural Networks.
CoRR, 2022

2021
Analysis and Approximation of Mixed-Dimensional PDEs on 3D-1D Domains Coupled with Lagrange Multipliers.
SIAM J. Numer. Anal., 2021

A computational model applied to myocardial perfusion in the human heart: From large coronaries to microvasculature.
J. Comput. Phys., 2021

Learning High-Order Interactions via Targeted Pattern Search.
CoRR, 2021

Mathematical analysis and numerical approximation of a general linearized poro-hyperelastic model.
Comput. Math. Appl., 2021

2020
Iterative splitting schemes for a soft material poromechanics model.
CoRR, 2020

2019
A Posteriori Model Error Analysis of 3D-1D Coupled PDEs.
Proceedings of the Numerical Mathematics and Advanced Applications ENUMATH 2019 - European Conference, Egmond aan Zee, The Netherlands, September 30, 2019

A Mixed Dimensional Model for the Interaction of a Well with a Poroelastic Material.
Proceedings of the Numerical Mathematics and Advanced Applications ENUMATH 2019 - European Conference, Egmond aan Zee, The Netherlands, September 30, 2019

2018
A Lagrange multiplier method for a Stokes-Biot fluid-poroelastic structure interaction model.
Numerische Mathematik, 2018

2015
Theory and application of arterial tissue in-host remodelling.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
Computational models for fluid exchange between microcirculation and tissue interstitium.
Networks Heterog. Media, 2014

Simulation of Flow in Fractured Poroelastic Media: A Comparison of Different Discretization Approaches.
Proceedings of the Finite Difference Methods, Theory and Applications, 2014

2013
Numerical Investigation of Convergence Rates for the FEM Approximation of 3D-1D Coupled Problems.
Proceedings of the Numerical Mathematics and Advanced Applications - ENUMATH 2013, 2013

2011
Model Reduction Strategies Enable Computational Analysis of Controlled Drug Release from Cardiovascular Stents.
SIAM J. Appl. Math., 2011

Controlled Release with Finite Dissolution Rate.
SIAM J. Appl. Math., 2011

2009
A Finite Element Method Based on Weighted Interior Penalties for Heterogeneous Incompressible Flows.
SIAM J. Numer. Anal., 2009

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

2008
Multiscale Boundary Conditions for Drug Release from Cardiovascular Stents.
Multiscale Model. Simul., 2008

2006
A Domain Decomposition Method Based on Weighted Interior Penalties for Advection-Diffusion-Reaction Problems.
SIAM J. Numer. Anal., 2006

2002
A Domain Decomposition Method for Advection-Diffusion Processes with Application to Blood Solutes.
SIAM J. Sci. Comput., 2002

Mathematical and Numerical Modeling of Solute Dynamics in Blood Flow and Arterial Walls.
SIAM J. Numer. Anal., 2002


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