Finite volume POD-Galerkin stabilised reduced order methods for the parametrised incompressible Navier-Stokes equations G Stabile, G Rozza Computer & Fluids, 2017 | 228 | 2017 |
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 | 176 | 2020 |
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 | 160 | 2017 |
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 | 85 | 2019 |
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 | 57* | 2023 |
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 | 56 | 2018 |
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 | 52 | 2020 |
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 | 51 | 2022 |
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 | 43 | 2020 |
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 | 41 | 2018 |
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 | 39 | 2020 |
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 | 38 | 2020 |
Assessment of icing effects on the wake shed behind a vertical axis wind turbine A Sheidani, S Salavatidezfouli, G Stabile, M Barzegar Gerdroodbary, ... Physics of Fluids 35 (9), 2023 | 34 | 2023 |
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 | 34 | 2019 |
Advanced reduced order methods and applications in computational fluid dynamics G Rozza, G Stabile, F Ballarin Society for Industrial and Applied Mathematics, 2022 | 32 | 2022 |
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 | 32 | 2020 |
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 | 31 | 2021 |
Hybrid neural network reduced order modelling for turbulent flows with geometric parameters M Zancanaro, M Mrosek, G Stabile, C Othmer, G Rozza Fluids 6 (8), 296, 2021 | 27 | 2021 |
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 | 27 | 2021 |
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 | 26 | 2016 |