Books

• Gianluigi Rozza, Giovanni Stabile and Francesco Ballarin, Advanced Reduced Order Methods and Applications in Computational Fluid Dynamics, Society for Industrial and Applied Mathematics, 2022 [DOI] 

PrePrints

• Sajad Salavatidezfouli, Armin Sheidani, Kabir Bakhshaei, Ali Safari, Arash Hajisharifi, Giovanni Stabile, and Gianluigi Rozza. Modal Analysis of the Wake Shed Behind a Horizontal Axis Wind Turbine with Flexible Blades. Submitted, 2024. [arXiv]

• Rahul Halder, Giovanni Stabile, and Gianluigi Rozza. Physics Informed Neural Network Framework for Unsteady Discretized Reduced Order System. Submitted, 2024. [arXiv]

• Caterina Balzotti, Pierfrancesco Siena, Michele Girfoglio, Giovanni Stabile, Jorge Dueñas-Pamplona, José Sierra-Pallares, Ignacio Amat-Santos, and Gianluigi Rozza. A Reduced Order Model formulation for left atrium flow: an Atrial Fibrillation case. Submitted, 2023. [arXiv]

• Matteo Zancanaro, Giovanni Stabile, and Gianluigi Rozza, A segregated reduced order model of a pressure-based solver for turbulent compressible flows, Submitted, 2023. [arXiv]

• Tobias Long, Robert Barnett, Richard Jefferson-Loveday, Giovanni Stabile and Matteo Icardi. A novel reduced-order model for advection-dominated problems based on Radon-Cumulative-Distribution Transform. 2023. [arXiv]

• Valentin Nkana Ngan, Giovanni Stabile, Andrea Mola and Gianluigi Rozza. A reduced-order model for segregated fluid-structure interaction solvers based on an ALE approach. 2023 [arXiv]

• Sajad Salavatidezfouli, Arash Hajisharifi, Michele Girfoglio, Giovanni Stabile and Gianluigi Rozza. Applicable Methodologies for the Mass Transfer Phenomenon in Tumble Dryers: A Review. 2023 [arXiv]

• Raul Bravo, Giovanni Stabile, Martin Hess, Joacquin Hernandez, Riccardo Rossi and Gianluigi Rozza. Geometrically Parametrised Reduced Order Models for the Study of Hysteresis of the Coanda Effect in Finite-elements-based Incompressible Fluid Dynamics. 2023. [arXiv]

• Michele Girfoglio, Giovanni Stabile, Andrea Mola, and Gianluigi Rozza, An efficient FV-based Virtual Boundary Method for the simulation of fluid-solid interaction, Submitted, 2022. [arXiv]

• Francesco Romor, Giovanni Stabile and Gianluigi Rozza. Explicable hyper-reduced order models on nonlinearly approximated solution manifolds of compressible and incompressible Navier-Stokes equations. 2023. [arXiv]

• Martina Cracco, Giovanni Stabile, Andrea Lario, Martin Larcher, Folco Casadei, Georgios Valsamos, and Gianluigi Rozza“Deep learning-based reduced-order methods for fast transient dynamics,” Submitted, 2023. [arXiv]

• Anna Ivagnes, Giovanni Stabile, Andrea Mola, Traian Iliescu, and Gianluigi Rozza, “Data enhanced reduced order methods for turbulent flows,” Submitted, 2023.

Published or Accepted

2024

• Guglielmo Padula, Francesco Romor, Giovanni Stabile and Gianluigi Rozza. “Generative models for the deformation of industrial shapes with linear geometric constraints: Model order and parameter space reductions,” Computer Methods in Applied Mechanics and Engineering, vol. 423. Elsevier BV, p. 116823, Apr. 2024 [DOI, arXiv]

• Davide Roznowicz, Giovanni Stabile, Nicola Demo, Davide Fransos, and Gianluigi Rozza, “Large-scale graph-machine-learning surrogate models for 3D-flowfield prediction in external aerodynamics,” Advanced Modeling and Simulation in Engineering Sciences, vol. 11, no. 1. Springer Science and Business Media LLC, Mar. 23, 2024. [DOI]

2023

• Sajad Salavatidezfouli, Saeid Moradi Zadeh, Giovanni Stabile, and Gianluigi Rozza. Deep reinforcement learning for the heat transfer control of pulsating impinging jets. Advances in Computational Science and Engineering, 1(4):401–423, 2023.  [DOI]

• Moaad Khamlich, Giovanni Stabile, Gianluigi Rozza, László Környei and Zoltán Horváth. A physics-based reduced order model for urban air pollution prediction. Computer Methods in Applied Mechanics and Engineering. 2023 [DOI, arXiv] 

• Isabella Carla Gonnella, Martin W. Hess, Giovanni Stabile and Gianluigi Rozza. A two stages Deep Learning Architecture for Model Reduction of Parametric Time-Dependent Problems. Computers & Mathematics with Applications. 2023 [arXiv, DOI]

• Armin Sheidani, Sajad Salavatidezfouli, Giovanni Stabile and Mostafa Barzegar Gerdroodbary and Gianluigi Rozza. Assessment of Icing Effects on the Wake Shed Behind a Vertical Axis WindTurbine. Physics of Fluids, 2023 [DOI]

• Anna Ivagnes, Giovanni Stabile, Andrea Mola, Traian Iliescu, and Gianluigi Rozza,  Hybrid Data-Driven Closure Strategies for Reduced Order Modeling, Applied Mathematics and Computation, 2023. [arXiv, DOI]

• Dario Coscia and Laura Meneghetti and Nicola Demo and Giovanni Stabile and Gianluigi Rozza. "A continuous trainable filter for modelling unstructured data", Journal of Computational Mechanics, 2023. [arXiv, DOI]

• Armin Sheidani, Sajad Salavatidezfouli, Giovanni Stabile, and Gianluigi Rozza,  “Assessment of URANS and LES methods in predicting wake shed behind a vertical axis wind turbine,” Journal of Wind Engineering & Industrial Aerodynamics, 2023 [DOI].

• Anna Ivagnes, Giovanni Stabile, Andrea Mola, Traian Iliescu, and Gianluigi Rozza, Pressure Data-Driven Variational Multiscale Reduced Order Models., Journal of Computational Physics, 2023. [arXiv, DOI]

• Francesco Romor, Giovanni Stabile, and Gianluigi Rozza, Non-linear manifold ROM with Convolutional Autoencoders and Reduced Over-Collocation method. Journal of Scientific Computing, 2023. [arXiv, DOI]

2022

• Umberto Emil Morelli, Patricia Barral, Peregrina Quintela, Gianluigi Rozza, and Giovanni Stabile, “Novel Methodologies for Solving the Inverse Unsteady Heat Transfer Problem of Estimating the Boundary Heat Flux in Continuous Casting Molds,” International Journal for Numerical Methods in Engineering, 2022. [arXiv, DOI]

• Armin Sheidani, Sajad Salavatidezfouli, Giovanni Stabile, and Gianluigi Rozza, “Assessment of URANS and LES Methods in Predicting Wake Shed Behind a Vertical Axis Wind Turbine,” Journal of Wind Engineering & Industrial Aerodynamics, 2022. 

• Francesco Romor, Giovanni Stabile, and Gianluigi Rozza, Non-linear manifold ROM with Convolutional Autoencoders and Reduced Over-Collocation method. Journal of Scientific Computing, 2023. [arXiv, DOI]

• Davide Papapicco, Nicola Demo, Michele Girfoglio, Giovanni Stabile, and Gianluigi Rozza, The Neural Network shifted-Proper Orthogonal Decomposition: a Machine Learning Approach for Non-linear Reduction of Hyperbolic Equations. Computer Methods in Applied Mechanics and Engineering, 2022. [bib | DOI | arXiv]

• Xianyi Zeng, Giovanni Stabile, Efthymios Karatzas, Guglielmo Scovazzi, Gianluigi Rozza, Embedded domain Reduced Basis Models for the shallow water hyperbolic equations with the Shifted Boundary Method.  Accepted on Computer Methods in Applied Mechanics and Engineering,  2022.   [bib | arXiv]

2021

• Matteo Zancanaro, Markus Mrosek, Giovanni Stabile, Carsten Othmer, and Gianluigi Rozza, Hybrid Neural Network Reduced Order Modelling for Turbulent Flows with Geometric Parameters, Fluids, vol. 6, no. 8, Art. no. 8, 2021. [ bib | DOI | arXiv ]

• Kelbij Star, Benjamin Sanderse, Giovanni Stabile, Gianluigi Rozza and Joris Degroote,  Reduced order models for the incompressible Navier-Stokes equations on collocated grids using a 'discretize-then-project' approach. International Journal for Numerical Methods in Fluids, vol. 93, no. 8, Art. no. 8, 2021. [ bib | DOI | arXiv ]

• Umberto Emil Morelli, Patricia Barral, Peregrina Quintela, Gianluigi Rozza and Giovanni Stabile, A numerical approach for heat flux estimation in thin slabs continuous casting molds using data assimilation. International Journal for Numerical Methods in Engineering, vol. 122, no. 17, Art. no. 17, 2021. [ bib | DOI |arXiv ] 

• Mahmoud Gadalla, Marta Cianferra, Marco Tezzele, Giovanni Stabile, Andrea Mola, and Gianluigi Rozza. On the comparison of LES data-driven reduced order approaches for hydroacoustic analysis. Computers & Fluids, vol. 216, p. 104819, 2021. [ bib | DOI | arXiv ]

• Kelbij Star, Giovanni Stabile, Gianluigi Rozza, and Joris Degroote. A POD-Galerkin reduced order model of a turbulent convective buoyant flow of sodium over a backward-facing step.  Applied Mathematical Modelling 89, pp. 486-503, 2021. [ bib | DOI | arXiv ]

• Kelbij Star, Giovanni Stabile, Francesco Belloni, Gianluigi Rozza, and Joris Degroote. A novel iterative penalty method to enforce boundary conditions in Finite Volume POD-Galerkin reduced order models for fluid dynamics problems. Communications in Computational Physics, vol. 30, no. 1, Art. no. 1, 2021. [ bib | DOI | arXiv ]

2020

• Marco Tezzele, Nicola Demo, Giovanni Stabile, Andrea Mola and Gianluigi Rozza. Enhancing CFD predictions in shape design problems by model and parameter space reduction. Advanced Modeling and Simulation in Engineering Sciences, Accepted, 2020. [ bib | DOI | arXiv ] 

• Efthymios N Karatzas, Giovanni Stabile, Leo Nouveau, Guglielmo Scovazzi, and Gianluigi Rozza. A Reduced-Order Shifted Boundary Method for Parametrized incompressible Navier-Stokes equations, Computer Methods in Applied Mechanics and Engineering, 2020, 370, 113273. [ bib | DOI | arXiv ]

• Gianluigi Rozza, Martin Hess, Giovanni Stabile, Marco Tezzele, and Francesco Ballarin. Basic Ideas and Tools for Projection-Based Model Reduction of Parametric Partial Differential Equations, Handbook on Model Order Reduction, vol. 1, chapter 1. De Gruyter, In Press, 2020. P. Benner, S. Grivet-Talocia, A. Quarteroni, G. Rozza, W. H. A. Schilders, and L. M. Silveira (eds.). [ bib | arXiv ]

• Saddam Hijazi, Giovanni Stabile , Andrea Mola, and Gianluigi Rozza. Data-driven POD–Galerkin reduced order model for turbulent flows. Journal of Computational Physics, 2020. [ bib | DOI | arXiv ]

• Giovanni Stabile, Matteo Zancanaro and Gianluigi Rozza. Efficient Geometrical parametrization for finite-volume based reduced order methods. International Journal for Numerical Methods in Engineering, 2020. [ bib | DOI | arXiv ]

• Giovanni Stabile, Bojana Rosic. Bayesian identification of a projection-based Reduced Order Model for Computational Fluid Dynamics, Computers & Fluids ,  2020 [ bib | DOI | arXiv ].

• Sokratia Georgaka, Giovanni Stabile, Gianluigi Rozza, and Michael J Bluck. Parametric POD-Galerkin Model Order Reduction for Unsteady-State Heat Transfer Problems. Comunications in Computational Physics,  27 (2020), pp. 1-32, 2020. [ bib | DOI | arXiv ]

• Saddam Hijazi, Shafqat Ali, Giovanni Stabile, Francesco Ballarin, and Gianluigi Rozza. The Effort of Increasing Reynolds Number in Projection-Based Reduced Order Methods: from Laminar to Turbulent Flows. Lecture Notes in Computational Science and Engineering, Springer International Publishing, 2020. [ bib | DOI | arXiv ]

• Sokratia Georgaka, Giovanni Stabile, Kelbij Star, Gianluigi Rozza, and Michael J Bluck. A Hybrid Reduced Order Method for Modelling Turbulent Heat Transfer Problems. Computers and Fluids, 2020. [ bib | DOI | arXiv ]

• Efthymios N. Karatzas, Giovanni Stabile, Nabib Atallah, Guglielmo Scovazzi, and Gianluigi Rozza. A Reduced Order Approach for the Embedded Shifted Boundary FEM and a Heat Exchange System on Parametrized Geometries. In IUTAM Symposium on Model Order Reduction of Coupled Systems, 2020. [ bib | | DOI | arXiv ]

• Saddam Hijazi, Giovanni Stabile, Andrea Mola, and Gianluigi Rozza. Non-Intrusive Polynomial Chaos Method Applied to Full-Order and Reduced Problems in Computational Fluid Dynamics: a Comparison and Perspectives. In QUIET special volume, 2020. [ bib | DOI | arXiv ]

2019

• Giovanni Stabile, Francesco Ballarin, Giacomo Zuccarino, and Gianluigi Rozza. A reduced order variational multiscale approach for turbulent flows. Advances in Computational Mathematics, 45, pp 2349–2368, 2019. [ bib | DOI | arXiv ]

• Efthymios N Karatzas, Giovanni Stabile, Leo Nouveau, Guglielmo Scovazzi, and Gianluigi Rozza. A reduced basis approach for PDEs on parametrized geometries based on the shifted boundary finite element method and application to a Stokes flow. Computer Methods in Applied Mechanics and Engineering, 347:568--587, 2019. [ bib | DOI | arXiv ]

• Saray Busto, Giovanni Stabile, Gianluigi Rozza, and María Elena Vázquez-Cendón. POD-Galerkin reduced order methods for combined Navier-Stokes transport equations based on a hybrid FV-FE solver. Computers & Mathematics with Applications, 2019. [ bib | DOI | arXiv ]

• Kelbij Star, Giovanni Stabile, Sokratia Georgaka, Francesco Belloni, Gianluigi Rozza, and Joris Degroote. POD-Galerkin Reduced Order Model of the Boussinesq Approximation for Buoyancy-Driven Enclosed Flows. In M&C 2019 meeting, 2019. [ bib | URL ]

2018

• Gianluigi Rozza, Haris Malik, Nicola Demo, Marco Tezzele, Michele Girfoglio, Giovanni Stabile, and Andrea Mola. Advances in Reduced Order Methods for Parametric Industrial Problems in Computational Fluid Dynamics. 2018. [ bib | arXiv ]

• Giovanni Stabile and Gianluigi Rozza. Finite volume POD-Galerkin stabilised reduced order methods for the parametrised incompressible Navier-Stokes equations. Computers & Fluids, 2018. [ bib | DOI | arXiv ]

• Giovanni Stabile, Hermann G. Matthies, and Claudio Borri. A novel reduced order model for vortex induced vibrations of long flexible cylinders. Ocean Engineering, 156:191--207, 2018. [ bib | DOI | arXiv ]

2017

• Alessandro Giusti, Giovanni Stabile, Enzo Marino, and Claudio Borri. Coupling effects on the dynamic response of moored floating platforms for offshore wind energy plants. Procedia engineering, 199:3194--3199, 2017. [ bib | DOI ]

• Giovanni Stabile, Saddam Hijazi, Andrea Mola, Stefano Lorenzi, and Gianluigi Rozza. POD-Galerkin reduced order methods for CFD using Finite Volume Discretisation: vortex shedding around a circular cylinder. Communications in Applied and Industrial Mathematics, 8(1):210--236, 2017. [ bib | DOI | arXiv ]

Older Articles

• Giovanni Stabile, Hermann G Matthies, and Claudio Borri. A Reduced Order Model for the Simulation of Mooring Cable Dynamics. In Computational Methods in Marine Engineering VI -- MARINE2015, pages 387--400. Salvatore, Francesco; Broglia, Riccardo; Muscari, Roberto, 2015. [ bib ]

• Enzo Marino, Claudio Lugni, Giovanni Stabile, Claudio Borri, and Lance Manuel. Coupled dynamic simulations of offshore wind turbines: influence of wave modelling on the fatigue load assesment. In XIII Conference of the Italian Association for Wind Engineering (In-Vento 2014), 2014. [ bib ]

• Enzo Marino, Claudio Lugni, Giovanni Stabile, and Claudio Borri. Coupled dynamic simulations of offshore wind turbines using linear, weakly and fully nonlinear wave models: the limitations of the second-order wave theory. In 9th International Conference on Structural Dynamics (EURODYN 2014), 2014. [ bib ]

• Enzo Marino, Giovanni Stabile, Claudio Borri, and Claudio Lugni. A comparative study about the effects of linear, weakly and fully nonlinear wave models on the dynamic response of offshore wind turbines. In Research and Applications in Structural Engineering, Mechanics and Computation, pages 389--390. CRC Press, 2013. [ bib ]