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Giovanni Stabile
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Finite volume POD-Galerkin stabilised reduced order methods for the parametrised incompressible Navier-Stokes equations
G Stabile, G Rozza
Computer & Fluids, 2017
1962017
Data-driven POD-Galerkin reduced order model for turbulent flows
S Hijazi, G Stabile, A Mola, G Rozza
Journal of Computational Physics 416, 109513, 2020
1522020
POD-Galerkin reduced order methods for CFD using Finite Volume Discretisation: vortex shedding around a circular cylinder
G Stabile, S Hijazi, A Mola, S Lorenzi, G Rozza
Communications in Applied and Industrial Mathematics 8 (1), 2017
1432017
A reduced order variational multiscale approach for turbulent flows
G Stabile, F Ballarin, G Zuccarino, G Rozza
Advances in Computational Mathematics 45, 2349-2368, 2019
782019
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
arXiv preprint arXiv:1811.08319, 2018
512018
Efficient geometrical parametrization for finite‐volume‐based reduced order methods
G Stabile, M Zancanaro, G Rozza
International journal for numerical methods in engineering 121 (12), 2655-2682, 2020
482020
Non-linear manifold reduced-order models with convolutional autoencoders and reduced over-collocation method
F Romor, G Stabile, G Rozza
Journal of Scientific Computing 94 (3), 74, 2023
42*2023
The neural network shifted-proper orthogonal decomposition: a machine learning approach for non-linear reduction of hyperbolic equations
D Papapicco, N Demo, M Girfoglio, G Stabile, G Rozza
Computer Methods in Applied Mechanics and Engineering 392, 114687, 2022
422022
A hybrid reduced order method for modelling turbulent heat transfer problems
S Georgaka, G Stabile, K Star, G Rozza, MJ Bluck
Computers & Fluids 208, 104615, 2020
402020
Parametric POD-Galerkin model order reduction for unsteady-state heat transfer problems
S Georgaka, G Stabile, G Rozza, MJ Bluck
arXiv preprint arXiv:1808.05175, 2018
382018
The effort of increasing Reynolds number in projection-based reduced order methods: from laminar to turbulent flows
S Hijazi, S Ali, G Stabile, F Ballarin, G Rozza
Numerical Methods for Flows: FEF 2017 Selected Contributions, 245-264, 2020
372020
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, 1-19, 2020
342020
A reduced basis approach for PDEs on parametrized geometries based on the shifted boundary finite element method and application to a Stokes flow
EN Karatzas, G Stabile, L Nouveau, G Scovazzi, G Rozza
Computer Methods in Applied Mechanics and Engineering 347, 568-587, 2019
332019
Basic ideas and tools for projection-based model reduction of parametric partial differential equations
G Rozza, M Hess, G Stabile, M Tezzele, F Ballarin
Model Order Reduction 2, 1-47, 2020
292020
A POD-Galerkin reduced order model of a turbulent convective buoyant flow of sodium over a backward-facing step
S Star, G Stabile, G Rozza, J Degroote
Applied Mathematical Modelling 89, 486-503, 2021
282021
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
242021
POD–Galerkin reduced order methods for combined Navier–Stokes transport equations based on a hybrid FV-FE solver
S Busto, G Stabile, G Rozza, ME Vázquez-Cendón
Computers & Mathematics with Applications 79 (2), 256-273, 2020
242020
Ithaca-fv-in real time highly advanced computational applications for finite volumes
G Stabile, G Rozza
URL http://www. mathlab. sissa. it/ithaca-fv. Accessed, 01-30, 2018
242018
A novel reduced order model for vortex induced vibrations of long flexible cylinders
G Stabile, HG Matthies, C Borri
Ocean Engineering 156, 191–207, 2016
242016
Advanced Reduced Order Methods and Applications in Computational Fluid Dynamics
G Rozza, G Stabile, F Ballarin
Society for Industrial and Applied Mathematics, 2022
222022
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Artículos 1–20