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Marco Tezzele
Marco Tezzele
Assistant Professor, Emory University
Verifisert e-postadresse på emory.edu - Startside
Tittel
Sitert av
Sitert av
År
PyDMD: Python Dynamic Mode Decomposition
N Demo, M Tezzele, G Rozza
Journal of Open Source Software 3 (22), 530, 2018
1352018
Dimension reduction in heterogeneous parametric spaces with application to naval engineering shape design problems
M Tezzele, F Salmoiraghi, A Mola, G Rozza
Advanced Modeling and Simulation in Engineering Sciences 5, 1-19, 2018
662018
A digital twin framework for civil engineering structures
M Torzoni, M Tezzele, S Mariani, A Manzoni, KE Willcox
Computer Methods in Applied Mechanics and Engineering 418, 116584, 2024
652024
Combined parameter and model reduction of cardiovascular problems by means of active subspaces and POD-Galerkin methods
M Tezzele, F Ballarin, G Rozza
Mathematical and numerical modeling of the cardiovascular system and …, 2018
612018
Advances in Reduced Order Methods for parametric industrial problems in computational fluid dynamics
G Rozza, H Malik, N Demo, M Tezzele, M Girfoglio, G Stabile, A Mola
Proceedings of the 6th European Conference on Computational Mechanics …, 2020
562020
A non-intrusive approach for the reconstruction of POD modal coefficients through active subspaces
N Demo, M Tezzele, G Rozza
Comptes Rendus Mécanique 347 (11), 873–881, 2019
532019
Shape Optimization by Means of Proper Orthogonal Decomposition and Dynamic Mode Decomposition
N Demo, M Tezzele, G Gustin, G Lavini, G Rozza
Technology and Science for the Ships of the Future: Proceedings of NAV 2018 …, 2018
512018
An integrated data-driven computational pipeline with model order reduction for industrial and applied mathematics
M Tezzele, N Demo, A Mola, G Rozza
Novel Mathematics Inspired by Industrial Challenges 38, 179–200, 2022
49*2022
EZyRB: Easy reduced basis method
N Demo, M Tezzele, G Rozza
Journal of Open Source Software 3 (24), 661, 2018
472018
Hull shape design optimization with parameter space and model reductions, and self-learning mesh morphing
N Demo, M Tezzele, A Mola, G Rozza
Journal of Marine Science and Engineering 9 (2), 185, 2021
432021
Advances in geometrical parametrization and reduced order models and methods for computational fluid dynamics problems in applied sciences and engineering: overview and …
F Salmoiraghi, F Ballarin, G Corsi, A Mola, M Tezzele, G Rozza
Proceedings of the ECCOMAS Congress 2016, 7th European Conference on …, 2016
422016
Basic ideas and tools for projection-based model reduction of parametric partial differential equations
G Rozza, M Hess, G Stabile, M Tezzele, F Ballarin
Snapshot-Based Methods and Algorithms, 1-47, 2020
40*2020
PyGeM: Python geometrical morphing
M Tezzele, N Demo, A Mola, G Rozza
Software Impacts 7, 100047, 2020
382020
Enhancing CFD predictions in shape design problems by model and parameter space reduction
M Tezzele, N Demo, G Stabile, A Mola, G Rozza
Advanced Modeling and Simulation in Engineering Sciences 7 (40), 2020
372020
A supervised learning approach involving active subspaces for an efficient genetic algorithm in high-dimensional optimization problems
N Demo, M Tezzele, G Rozza
SIAM Journal on Scientific Computing 43 (3), B831–B853, 2021
332021
Model order reduction by means of active subspaces and dynamic mode decomposition for parametric hull shape design hydrodynamics
M Tezzele, N Demo, M Gadalla, A Mola, G Rozza
Technology and Science for the Ships of the Future: Proceedings of NAV 2018 …, 2018
302018
Shape optimization through proper orthogonal decomposition with interpolation and dynamic mode decomposition enhanced by active subspaces
M Tezzele, N Demo, G Rozza
8th International Conference on Computational Methods in Marine Engineering …, 2019
292019
An efficient shape parametrisation by free-form deformation enhanced by active subspace for hull hydrodynamic ship design problems in open source environment
N Demo, M Tezzele, A Mola, G Rozza
ISOPE International Ocean and Polar Engineering Conference, ISOPE-I-18-481, 2018
292018
On the comparison of LES data-driven reduced order approaches for hydroacoustic analysis
M Gadalla, M Cianferra, M Tezzele, G Stabile, A Mola, G Rozza
Computers & Fluids 216, 104819, 2021
262021
A complete data-driven framework for the efficient solution of parametric shape design and optimisation in naval engineering problems
N Demo, M Tezzele, A Mola, G Rozza
8th International Conference on Computational Methods in Marine Engineering …, 2019
242019
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Artikler 1–20