Ich stimme zu, dass diese Seite Cookies verwende. Weitere Informationen finden Sie unter unseren Datenschutzerklärungen .
X
Mola Andrea
194  Ergebnisse:
Personensuche X
?
1

Data Enhanced Reduced Order Methods for Turbulent Flows:

, In: Lecture Notes in Computational Science and Engineering; Reduction, Approximation, Machine Learning, Surrogates, Emulators and Simulators,
Ivagnes, Anna ; Stabile, Giovanni ; Mola, Andrea.. - p. 171-198 , 2024
Link: https://doi.org/10.1007/..
 
?
2

Pressure data-driven variational multiscale reduced order m..:

Ivagnes, Anna ; Stabile, Giovanni ; Mola, Andrea..
Journal of Computational Physics.  476 (2023)  - p. 111904 , 2023
Link: https://doi.org/10.1016/..
 
?
3

Hybrid data-driven closure strategies for reduced order mod..:

Ivagnes, Anna ; Stabile, Giovanni ; Mola, Andrea..
Applied Mathematics and Computation.  448 (2023)  - p. 127920 , 2023
Link: https://doi.org/10.1016/..
 
?
4

A unified steady and unsteady formulation for hydrodynamic ..:

Mola, Andrea ; Giuliani, Nicola ; Crego, Óscar.
Applied Mathematical Modelling.  122 (2023)  - p. 322-349 , 2023
Link: https://doi.org/10.1016/..
 
?
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

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/..
 
?
7

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/..
 
?
8

Propagating Geometry Information to Finite Element Computat..:

Heltai, Luca ; Bangerth, Wolfgang ; Kronbichler, Martin.
ACM Transactions on Mathematical Software.  47 (2021)  4 - p. 1-30 , 2021
Link: https://doi.org/10.1145/..
 
?
9

Propagating Geometry Information to Finite Element Computat..:

Heltai, Luca ; Bangerth, Wolfgang ; Kronbichler, Martin.
ACM Transactions on Mathematical Software (TOMS).  47 (2021)  4 - p. 1-30 , 2021
Link: https://dl.acm.org/doi/1..
 
?
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

Data-driven POD-Galerkin reduced order model for turbulent ..:

Hijazi, Saddam ; Stabile, Giovanni ; Mola, Andrea.
Journal of Computational Physics.  416 (2020)  - p. 109513 , 2020
Link: https://doi.org/10.1016/..
 
?
12

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/..
 
?
13

Non-intrusive Polynomial Chaos Method Applied to Full-Order..:

, In: Lecture Notes in Computational Science and Engineering; Quantification of Uncertainty: Improving Efficiency and Technology,
Hijazi, Saddam ; Stabile, Giovanni ; Mola, Andrea. - p. 217-240 , 2020
Link: https://doi.org/10.1007/..
 
?
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

π-BEM: A flexible parallel implementation for adaptive, geo..:

Giuliani, Nicola ; Mola, Andrea ; Heltai, Luca
Advances in Engineering Software.  121 (2018)  - p. 39-58 , 2018
Link: https://doi.org/10.1016/..
 
1-15