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Tezzele, Marco
17
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1
A digital twin framework for civil engineering structures:
Torzoni, Matteo
;
Tezzele, Marco
;
Mariani, Stefano
..
Computer Methods in Applied Mechanics and Engineering. 418 (2024) - p. 116584 , 2024
Link:
https://doi.org/10.1016/..
?
2
A Local Approach to Parameter Space Reduction for Regressio..:
Romor, Francesco
;
Tezzele, Marco
;
Rozza, Gianluigi
Journal of Scientific Computing. 99 (2024) 3 - p. , 2024
Link:
https://doi.org/10.1007/..
?
3
A DeepONet multi-fidelity approach for residual learning in..:
Demo, Nicola
;
Tezzele, Marco
;
Rozza, Gianluigi
Advanced Modeling and Simulation in Engineering Sciences. 10 (2023) 1 - p. , 2023
Link:
https://doi.org/10.1186/..
?
4
Multi‐fidelity data fusion through parameter space reductio..:
Romor, Francesco
;
Tezzele, Marco
;
Mrosek, Markus
..
International Journal for Numerical Methods in Engineering. 124 (2023) 23 - p. 5293-5311 , 2023
Link:
https://doi.org/10.1002/..
?
5
Kernel‐based active subspaces with application to computati..:
Romor, Francesco
;
Tezzele, Marco
;
Lario, Andrea
.
International Journal for Numerical Methods in Engineering. 123 (2022) 23 - p. 6000-6027 , 2022
Link:
https://doi.org/10.1002/..
?
6
A multifidelity approach coupling parameter space reduction..:
Tezzele, Marco
;
Fabris, Lorenzo
;
Sidari, Matteo
..
International Journal for Numerical Methods in Engineering. 124 (2022) 5 - p. 1193-1210 , 2022
Link:
https://doi.org/10.1002/..
?
7
A Supervised Learning Approach Involving Active Subspaces f..:
Demo, Nicola
;
Tezzele, Marco
;
Rozza, Gianluigi
SIAM Journal on Scientific Computing. 43 (2021) 3 - p. B831-B853 , 2021
Link:
https://doi.org/10.1137/..
?
8
Multi‐fidelity data fusion for the approximation of scalar ..:
Romor, Francesco
;
Tezzele, Marco
;
Rozza, Gianluigi
PAMM. 20 (2021) S1 - p. , 2021
Link:
https://doi.org/10.1002/..
?
9
On the comparison of LES data-driven reduced order approach..:
Gadalla, Mahmoud
;
Cianferra, Marta
;
Tezzele, Marco
...
Computers & Fluids. 216 (2021) - p. 104819 , 2021
Link:
https://doi.org/10.1016/..
?
10
PyGeM: Python Geometrical Morphing:
Tezzele, Marco
;
Demo, Nicola
;
Mola, Andrea
.
Software Impacts. 7 (2021) - p. 100047 , 2021
Link:
https://doi.org/10.1016/..
?
11
ATHENA: Advanced Techniques for High dimensional parameter ..:
Romor, Francesco
;
Tezzele, Marco
;
Rozza, Gianluigi
Software Impacts. 10 (2021) - p. 100133 , 2021
Link:
https://doi.org/10.1016/..
?
12
Hull Shape Design Optimization with Parameter Space and Mod..:
Demo, Nicola
;
Tezzele, Marco
;
Mola, Andrea
.
Journal of Marine Science and Engineering. 9 (2021) 2 - p. 185 , 2021
Link:
https://doi.org/10.3390/..
?
13
Enhancing CFD predictions in shape design problems by model..:
Tezzele, Marco
;
Demo, Nicola
;
Stabile, Giovanni
..
Advanced Modeling and Simulation in Engineering Sciences. 7 (2020) 1 - p. , 2020
Link:
https://doi.org/10.1186/..
?
14
BladeX: Python Blade Morphing:
Gadalla, Mahmoud
;
Tezzele, Marco
;
Mola, Andrea
.
Journal of Open Source Software. 4 (2019) 34 - p. 1203 , 2019
Link:
https://doi.org/10.21105..
?
15
PyDMD: Python Dynamic Mode Decomposition:
Demo, Nicola
;
Tezzele, Marco
;
Rozza, Gianluigi
The Journal of Open Source Software. 3 (2018) 22 - p. 530 , 2018
Link:
https://doi.org/10.21105..
1-15