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2024
Salavatidezfouli S, Nikishova A, Torlo D, Teruzzi M, Rozza G. Computations for Sustainability. In: Quantitative Sustainability: Interdisciplinary Research for Sustainable Development Goals. Quantitative Sustainability: Interdisciplinary Research for Sustainable Development Goals. Springer International Publishing Cham; 2024. pp. 91–110.
Salavatidezfouli S, Nikishova A, Torlo D, Teruzzi M, Rozza G. Computations for Sustainability. In: Quantitative Sustainability: Interdisciplinary Research for Sustainable Development Goals. Quantitative Sustainability: Interdisciplinary Research for Sustainable Development Goals. Springer International Publishing Cham; 2024. pp. 91–110.
Ortali G, Gabbana A, Demo N, Rozza G, Toschi F. Kinetic data-driven approach to turbulence subgrid modeling. arXiv preprint arXiv:2403.18466. 2024 .
Magnani V, Tiberio D. The Michor-Mumford conjecture in Hilbertian H-type groups. [Internet]. 2024 . Available from: https://arxiv.org/abs/2404.04583
Ortali G, Toschi F, van de Meent J-W. Modeling Droplets Dynamics in Emulsions with Graph Neural Networks. In: ICML 2024 AI for Science Workshop. ICML 2024 AI for Science Workshop. ; 2024.
Prusak I, Torlo D, Nonino M, Rozza G. Optimisation–Based Coupling of Finite Element Model and Reduced Order Model for Computational Fluid Dynamics.; 2024.
Prusak I, Torlo D, Nonino M, Rozza G. An optimisation–based domain–decomposition reduced order model for parameter–dependent non–stationary fluid dynamics problems. Computers & Mathematics with Applications [Internet]. 2024 ;166:253-268. Available from: https://www.sciencedirect.com/science/article/pii/S0898122124002098
Lerario A, Rizzi L, Tiberio D. Quantitative approximate definable choices. [Internet]. 2024 . Available from: https://arxiv.org/abs/2409.14869
Berti M, Feola R, Procesi M, Terracina S. Reducibility of Klein-Gordon equations with maximal order perturbations. [Internet]. 2024 . Available from: https://arxiv.org/abs/2402.11377
Lerario A, Rizzi L, Tiberio D. Sard properties for polynomial maps in infinite dimension. [Internet]. 2024 . Available from: https://arxiv.org/abs/2407.02296
Prusak I, Torlo D, Nonino M, Rozza G. A time-adaptive algorithm for pressure dominated flows: a heuristic estimator. [Internet]. 2024 . Available from: https://arxiv.org/abs/2407.00428
2023
Donadini E, Strazzullo M, Tezzele M, Rozza G. A Data-Driven Partitioned Approach for the Resolution of Time-Dependent Optimal Control Problems with Dynamic Mode Decomposition. In: 13th International Conference on Spectral and High Order Methods, ICOSAHOM 2021. 13th International Conference on Spectral and High Order Methods, ICOSAHOM 2021. ; 2023.
Arndt D, Bangerth W, Bergbauer M, Feder M, Fehling M, Heinz J, Heister T, Heltai L, Kronbichler M, Maier M, et al. The deal.II Library, Version 9.5. Journal of Numerical Mathematics [Internet]. 2023 ;31:231–246. Available from: https://doi.org/10.1515/jnma-2023-0089
Romor F, Torlo D, Rozza G. Friedrichs' systems discretized with the Discontinuous Galerkin method: domain decomposable model order reduction and Graph Neural Networks approximating vanishing viscosity solutions.; 2023.
Prusak I, Nonino M, Torlo D, Ballarin F, Rozza G. An optimisation–based domain–decomposition reduced order model for the incompressible Navier-Stokes equations. [Internet]. 2023 ;151:172 - 189. Available from: https://www.sciencedirect.com/science/article/pii/S0898122123004248
2022
Arndt D, Bangerth W, Feder M, Fehling M, Gassmöller R, Heister T, Heltai L, Kronbichler M, Maier M, Munch P, et al. The deal.II library, Version 9.4. Journal of Numerical Mathematics [Internet]. 2022 ;30:231–246. Available from: https://doi.org/10.1515/jnma-2022-0054
Romor F, Tezzele M, Lario A, Rozza G. Kernel-based active subspaces with application to computational fluid dynamics parametric problems using discontinuous Galerkin method. International Journal for Numerical Methods in Engineering. 2022 ;123:6000-6027.
Magnani V, Tiberio D. On the Michor–Mumford phenomenon in the infinite dimensional Heisenberg group. Revista Matemática Complutense [Internet]. 2022 ;36:973–989. Available from: http://dx.doi.org/10.1007/s13163-022-00430-5
Ortali G, Corbetta A, Rozza G, Toschi F. Numerical proof of shell model turbulence closure. Physical Review Fluids. 2022 ;7:L082401.
Della Marca R, Loy N, Tosin A. An SIR–like kinetic model tracking individuals' viral load. Networks and Heterogeneous Media. 2022 :-.
Arndt D, Feder WBangerth M, Fehling M, Gassmöller R, Heister T, Heltai L, Kronbichler M, Maier M, Munch P, Pelteret J-P, et al. The \textttdeal.II Library, Version 9.4. Journal of Numerical Mathematics. 2022 .
Peschka D, Zafferi A, Heltai L, Thomas M. Variational Approach to Fluid–Structure Interaction via GENERIC. Journal of Non-Equilibrium Thermodynamics. 2022 .
2021
Romor F, Tezzele M, Rozza G. ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis. Software Impacts. 2021 ;10:100133.
Gadalla M, Cianferra M, Tezzele M, Stabile G, Mola A, Rozza G. On the comparison of LES data-driven reduced order approaches for hydroacoustic analysis. Computers & Fluids [Internet]. 2021 ;216:104819. Available from: https://www.sciencedirect.com/science/article/pii/S0045793020303893
Tezzele M. Data-driven parameter and model order reduction for industrial optimisation problems with applications in naval engineering. 2021 .

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