Publications marco.tezzele@emory.edu | | | | |
2024
2023
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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.
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2022
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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.
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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.
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2021
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2020
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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.
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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.
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2019
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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.
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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.
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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.
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2018
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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.
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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.
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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.
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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.
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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.
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2016
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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.
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