E-LIB Suche - Ergebnisse für: Tezzele, Marco

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

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/..

4

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/..

5

An integrated data-driven computational pipeline with model..:

, In: Mathematics in Industry; Novel Mathematics Inspired by Industrial Challenges,

Tezzele, Marco ; Demo, Nicola ; Mola, Andrea. - p. 179-200 , 2022

Link: https://doi.org/10.1007/..

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 Data-Driven Partitioned Approach for the Resolution of Ti..:

, In: Lecture Notes in Computational Science and Engineering; Spectral and High Order Methods for Partial Differential Equations ICOSAHOM 2020+1,

Donadini, Eleonora ; Strazzullo, Maria ; Tezzele, Marco. - p. 225-238 , 2022

Link: https://doi.org/10.1007/..

8

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/..

9

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/..

10

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/..

11

PyGeM: Python Geometrical Morphing:

Tezzele, Marco ; Demo, Nicola ; Mola, Andrea.
Software Impacts. 7 (2021) - p. 100047 , 2021

Link: https://doi.org/10.1016/..

12

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/..

13

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/..

14

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/..

15

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/..