Tez profile

Publications marco.tezzele@austin.utexas.edu | | | | |


2024
A digital twin framework for civil engineering structures [ bib | DOI | arXiv ]
Matteo Torzoni, Marco Tezzele, Stefano Mariani, Andrea Manzoni, Karen E. Willcox
Computer Methods in Applied Mechanics and Engineering, 418, 116584, 2024.


2023
Multi-fidelity data fusion through parameter space reduction with applications to automotive engineering [ bib | DOI | arXiv ]
Francesco Romor, Marco Tezzele, Markus Mrosek, Carsten Othmer, Gianluigi Rozza
International Journal for Numerical Methods in Engineering, 124(23):5293-5311, 2023.


A DeepONet multi-fidelity approach for residual learning in reduced order modeling [ bib | DOI | arXiv ]
Nicola Demo, Marco Tezzele, Gianluigi Rozza
Advanced Modeling and Simulation in Engineering Sciences 10, 12, 2023.


A multi-fidelity approach coupling parameter space reduction and non-intrusive POD with application to structural optimization of passenger ship hulls [ bib | DOI | arXiv ]
Marco Tezzele, Lorenzo Fabris, Matteo Sidari, Mauro Sicchiero, Gianluigi Rozza
International Journal for Numerical Methods in Engineering, 124(5):1193–1210, 2023.


2022
Kernel-based active subspaces with application to computational fluid dynamics parametric problems using discontinuous Galerkin method [ bib | DOI | arXiv ]
Francesco Romor, Marco Tezzele, Andrea Lario, Gianluigi Rozza
International Journal for Numerical Methods in Engineering, 123(23):6000–6027, 2022.


An integrated data-driven computational pipeline with model order reduction for industrial and applied mathematics [ bib | DOI | arXiv ]
Marco Tezzele, Nicola Demo, Andrea Mola, Gianluigi Rozza
in M. Gunther, and W. H. A. Schilders, editors, Novel Mathematics Inspired by Industrial Challenges, volume 38. Springer International Publishing, 2022.


2021
A local approach to parameter space reduction for regression and classification tasks [ bib | DOI | arXiv ]
Francesco Romor, Marco Tezzele, Gianluigi Rozza
Submitted, 2021.


On the comparison of LES data-driven reduced order approaches for hydroacoustic analysis [ bib | DOI | arXiv ]
Mahmoud Gadalla, Marta Cianferra, Marco Tezzele, Giovanni Stabile, Andrea Mola, Gianluigi Rozza
Computer & Fluids, 216:104819, 2021.


Hull Shape Design Optimization with Parameter Space and Model Reductions, and Self-Learning Mesh Morphing [ bib | DOI | arXiv ]
Nicola Demo, Marco Tezzele, Andrea Mola, Gianluigi Rozza
Journal of Marine Science and Engineering, 9(2):185, 2021.


PyGeM: Python Geometrical Morphing
Marco Tezzele, Nicola Demo, Andrea Mola, Gianluigi Rozza
Software Impacts, 7:100047, 2021.
[ bib | DOI | github ]


A supervised learning approach involving active subspaces for an efficient genetic algorithm in high-dimensional optimization problems [ bib | DOI | arXiv ]
Nicola Demo, Marco Tezzele, Gianluigi Rozza
SIAM Journal on Scientific Computing, 43(3), pp. B831–B853, 2021.


ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis.
Francesco Romor, Marco Tezzele, Gianluigi Rozza
Software Impacts, 10:100133, 2021.
[ bib | DOI | github ]


2020
Enhancing CFD predictions in shape design problems by model and parameter space reduction [ bib | DOI | arXiv ]
Marco Tezzele, Nicola Demo, Giovanni Stabile, Andrea Mola, Gianluigi Rozza
Advanced Modeling and Simulation in Engineering Sciences 7, 40, 2020.


Multi-fidelity data fusion for the approximation of scalar functions with low intrinsic dimensionality through active subspaces [ bib | DOI | arXiv ]
Francesco Romor, Marco Tezzele, Gianluigi Rozza
In Proceedings in Applied Mathematics & Mechanics, 2020.


Basic Ideas and Tools for Projection-Based Model Reduction of Parametric Partial Differential Equations [ bib | DOI | arXiv ]
Gianluigi Rozza, Martin Hess, Giovanni Stabile, Marco Tezzele, Francesco Ballarin
in P. Benner, S. Grivet-Talocia, A. Quarteroni, G. Rozza, W. H. A. Schilders, and L. M. Silveira, editors, Model Order Reduction, volume 2, chapter 1. De Gruyter, Boston, Berlin, 2020.


Reduced Order Isogeometric Analysis Approach for PDEs in Parametrized Domains [ bib | DOI | arXiv ]
Fabrizio Garotta, Nicola Demo, Marco Tezzele, Massimo Carraturo, Alessandro Reali, Gianluigi Rozza
QUIET special volume, Lecture Notes in Computational Science and Engineering series, Springer, Cham, 2020.


2019
A non-intrusive approach for reconstruction of POD modal coefficients through active subspaces [ bib | DOI | arXiv ]
Nicola Demo, Marco Tezzele, Gianluigi Rozza
Comptes Rendus Mécanique de l’Académie des Sciences, DataBEST 2019 Special Issue 347, 873–881, 2019.


Shape optimization through proper orthogonal decomposition with interpolation and dynamic mode decomposition enhanced by active subspaces [ bib | DOI | arXiv ]
Marco Tezzele, Nicola Demo, Gianluigi Rozza
In R. Bensow and J. Ringsberg, editors, Proceedings of MARINE 2019: VIII International Conference on Computational Methods in Marine Engineering, pages 122–133, 2019.


A complete data-driven framework for the efficient solution of parametric shape design and optimisation in naval engineering problems [ bib | DOI | arXiv ]
Nicola Demo, Marco Tezzele, Andrea Mola, Gianluigi Rozza
In R. Bensow and J. Ringsberg, editors, Proceedings of MARINE 2019: VIII International Conference on Computational Methods in Marine Engineering, pages 111–121, 2019.


Efficient reduction in shape parameter space dimension for ship propeller blade design [ bib | DOI | arXiv ]
Andrea Mola, Marco Tezzele, Mahmoud Gadalla, Federica Valdenazzi, Davide Grassi, Roberta Padovan, Gianluigi Rozza
In R. Bensow and J. Ringsberg, editors, Proceedings of MARINE 2019: VIII International Conference on Computational Methods in Marine Engineering, pages 201–212, 2019.


BladeX: Python Blade Morphing
Mahmoud Gadalla, Marco Tezzele, Andrea Mola, Gianluigi Rozza
The Journal of Open Source Software, 4(34):1203, 2019.
[ bib | DOI | github ]


2018
Dimension reduction in heterogeneous parametric spaces with application to naval engineering shape design problems [ bib | DOI | arXiv ]
Marco Tezzele, Filippo Salmoiraghi, Andrea Mola, Gianluigi Rozza
Advanced Modeling and Simulation in Engineering Sciences 5, 25, 2018.


Combined parameter and model reduction of cardiovascular problems by means of active subspaces and POD-Galerkin methods [ bib | DOI | arXiv ]
Marco Tezzele, Francesco Ballarin, Gianluigi Rozza
in D. Boffi, L. F. Pavarino, G. Rozza, S. Scacchi, and C. Vergara, editors, Mathematical and Numerical Modeling of the Cardio- vascular System and Applications, pages 185–207. Springer International Publishing, 2018.


Advances in Reduced Order Methods for Parametric Industrial Problems in Computational Fluid Dynamics [ bib | DOI | arXiv ]
Gianluigi Rozza, Haris Malik, Nicola Demo, Marco Tezzele, Michele Girfoglio, Giovanni Stabile, Andrea Mola
in R. Owen, R. de Borst, J. Reese, and P. Chris, editors, ECCOMAS ECFD 7 - Proceedings of 6th European Conference on Computational Mechanics (ECCM 6) and 7th European Conference on Computational Fluid Dynamics (ECFD 7), pages 59–76, Glasgow, UK, 2018.


Shape optimization by means of proper orthogonal decomposition and dynamic mode decomposition [ bib | DOI | arXiv ]
Nicola Demo, Marco Tezzele, Gianluca Gustin, Gianpiero Lavini, Gianluigi Rozza
in Technology and Science for the Ships of the Future: Proceedings of NAV 2018: 19th International Conference on Ship & Maritime Research, IOS Press, pp. 212–219, 2018.


Model order reduction by means of active subspaces and dynamic mode decomposition for parametric hull shape design hydrodynamics [ bib | DOI | arXiv ]
Marco Tezzele, Nicola Demo, Mahmoud Gadalla, Andrea Mola, Gianluigi Rozza
in Technology and Science for the Ships of the Future: Proceedings of NAV 2018: 19th International Conference on Ship & Maritime Research, IOS Press, pp. 569–576, 2018.


Model order reduction by means of active subspaces and dynamic mode decomposition for parametric hull shape design hydrodynamics [ bib | DOI | arXiv ]
Nicola Demo, Marco Tezzele, Andrea Mola, Gianluigi Rozza
in Proceedings of ISOPE 2018: The 28th International Ocean and Polar Engineering Conference, volume 3, pages 565–572, 2018.


PyDMD: Python Dynamic Mode Decomposition
Nicola Demo, Marco Tezzele, Gianluigi Rozza
The Journal of Open Source Software, 3(22):530, 2018.
[ bib | DOI | github ]


EZyRB: Easy Reduced Basis method
Nicola Demo, Marco Tezzele, Gianluigi Rozza
The Journal of Open Source Software, 3(24):661, 2018.
[ bib | DOI | github ]


2016
Advances in geometrical parametrization and reduced order models and methods for computational fluid dynamics problems in applied sciences and engineering: Overview and perspectives [ bib | DOI | pdf ]
Filippo Salmoiraghi, Francesco Ballarin, Giovanni Corsi, Andrea Mola, Marco Tezzele, Gianluigi Rozza
ECCOMAS Congress 2016 - Proceedings of the 7th European Congress on Computational Methods in Applied Sciences and Engineering, 1:1013–1031, 2016.