Paolo Zunino
University of Pittsburgh
H-index: 35
North America-United States
Top articles of Paolo Zunino
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Deep orthogonal decomposition: a continuously adaptive data-driven approach to model order reduction | arXiv preprint arXiv:2404.18841 | Nicola Rares Franco Andrea Manzoni Paolo Zunino Jan S Hesthaven | 2024/4/29 |
Application of Deep Learning Reduced-Order Modeling for Single-Phase Flow in Faulted Porous Media | arXiv preprint arXiv:2403.03678 | Enrico Ballini Luca Formaggia Alessio Fumagalli Anna Scotti Paolo Zunino | 2024/3/6 |
Deep learning enhanced cost-aware multi-fidelity uncertainty quantification of a computational model for radiotherapy | arXiv preprint arXiv:2402.08494 | Piermario Vitullo Nicola Rares Franco Paolo Zunino | 2024/2/13 |
Nonlinear model order reduction for problems with microstructure using mesh informed neural networks | Finite Elements in Analysis and Design | Piermario Vitullo Alessio Colombo Nicola Rares Franco Andrea Manzoni Paolo Zunino | 2024/2/1 |
Modeling hypoxia-induced radiation resistance and the impact of radiation sources | Computers in Biology and Medicine | Luca Possenti Piermario Vitullo Alessandro Cicchetti Paolo Zunino Tiziana Rancati | 2024/5/1 |
The Microvascular Network Density and Morphology Affect the Radiotherapy Outcome at the Microscale Level: A Computational Analysis | International Journal of Radiation Oncology, Biology, Physics | L Possenti P Vitullo A Cicchetti T Rancati P Zunino | 2023/10/1 |
Deep learning based reduced order modeling of Darcy flow systems with local mass conservation | arXiv preprint arXiv:2311.14554 | Wietse M Boon Nicola R Franco Alessio Fumagalli Paolo Zunino | 2023/11/24 |
Microvascular morphology affects radiotherapy outcomes: a computational study | bioRxiv | Luca Possenti Piermario Vitullo Alessandro Cicchetti Paolo Zunino Tiziana Rancati | 2023 |
Reduced Lagrange multiplier approach for non-matching coupling of mixed-dimensional domains | arXiv preprint arXiv:2303.10600 | Luca Heltai Paolo Zunino | 2023/3/19 |
A three‐dimensional method for morphological analysis and flow velocity estimation in microvasculature on‐a‐chip | Bioengineering & Translational Medicine | Alberto Rota Luca Possenti Giovanni S Offeddu Martina Senesi Adelaide Stucchi | 2023/9 |
Sensitivity analysis of a multi‐physics model for the vascular microenvironment | International Journal for Numerical Methods in Biomedical Engineering | Piermario Vitullo Ludovica Cicci Luca Possenti Alessandro Coclite Maria Laura Costantino | 2023/11 |
A Deep Learning approach to Reduced Order Modeling of Parameter dependent Partial Differential Equations | Programme 7 Invited Talks 11 Data-enhanced Reduced-order Modeling for Dynamical Systems (Peter Benner, Pawan Goyal, Igor Pontes Duff).................... 11 Model reduction and data-driven modeling for power networks (Serkan | Paolo Zunino Nicola-Rares Franco Andrea Manzoni Stefania Fresca | 2023/3/9 |
A tissue-aware simulation framework for [18F] FLT spatiotemporal uptake in pancreatic ductal adenocarcinoma | Lara Cavinato Jimin Hong Stefan Reinhard Martin Wartenberg Paolo Zunino | 2023/8/29 | |
Mesh-Informed neural networks for operator learning in finite element spaces | Journal of Scientific Computing | Nicola Rares Franco Andrea Manzoni Paolo Zunino | 2023/11 |
A deep learning approach to reduced order modelling of parameter dependent partial differential equations | Mathematics of Computation | Nicola Franco Andrea Manzoni Paolo Zunino | 2023/3 |
Robust Preconditioning of mixed-dimensional PDEs on 3d-1d domains coupled with Lagrange multipliers | arXiv preprint arXiv:2307.08431 | Nunzio Dimola Miroslav Kuchta Kent-Andre Mardal Paolo Zunino | 2023/7/17 |
Uncertainty quantification for nonlinear solid mechanics using reduced order models with Gaussian process regression | Computers & Mathematics with Applications | Ludovica Cicci Stefania Fresca Mengwu Guo Andrea Manzoni Paolo Zunino | 2023/11/1 |
Learning high-order interactions for polygenic risk prediction | Plos one | Michela C Massi Nicola R Franco Andrea Manzoni Anna Maria Paganoni Hanla A Park | 2023/2/10 |
PO-2113 Evaluating and updating predictive models: a high-tech open platform to boost clinical translation | Radiotherapy and Oncology | A Huat NR Franco J Chang-Claude A Cicchetti S Gutiérrez-Enríquez | 2023/5/1 |
On the latent dimension of deep autoencoders for reduced order modeling of PDEs parametrized by random fields | arXiv preprint arXiv:2310.12095 | Nicola Rares Franco Daniel Fraulin Andrea Manzoni Paolo Zunino | 2023/10/18 |
Co-Authors
