| PyDMD: Python Dynamic Mode Decomposition N Demo, M Tezzele, G Rozza Journal of Open Source Software 3 (22), 530, 2018 | 120 | 2018 |
| Dimension reduction in heterogeneous parametric spaces with application to naval engineering shape design problems M Tezzele, F Salmoiraghi, A Mola, G Rozza Advanced Modeling and Simulation in Engineering Sciences 5, 1-19, 2018 | 69 | 2018 |
| Combined parameter and model reduction of cardiovascular problems by means of active subspaces and POD-Galerkin methods M Tezzele, F Ballarin, G Rozza Mathematical and numerical modeling of the cardiovascular system and …, 2018 | 60 | 2018 |
| 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 Proceedings of the 6th European Conference on Computational Mechanics …, 2020 | 56 | 2020 |
| A non-intrusive approach for the reconstruction of POD modal coefficients through active subspaces N Demo, M Tezzele, G Rozza Comptes Rendus Mécanique 347 (11), 873–881, 2019 | 52 | 2019 |
| Shape Optimization by Means of Proper Orthogonal Decomposition and Dynamic Mode Decomposition N Demo, M Tezzele, G Gustin, G Lavini, G Rozza Technology and Science for the Ships of the Future: Proceedings of NAV 2018 …, 2018 | 52 | 2018 |
| An integrated data-driven computational pipeline with model order reduction for industrial and applied mathematics M Tezzele, N Demo, A Mola, G Rozza Novel Mathematics Inspired by Industrial Challenges 38, 179–200, 2022 | 47* | 2022 |
| EZyRB: Easy reduced basis method N Demo, M Tezzele, G Rozza Journal of Open Source Software 3 (24), 661, 2018 | 44 | 2018 |
| Advances in geometrical parametrization and reduced order models and methods for computational fluid dynamics problems in applied sciences and engineering: overview and … F Salmoiraghi, F Ballarin, G Corsi, A Mola, M Tezzele, G Rozza Proceedings of the ECCOMAS Congress 2016, 7th European Conference on …, 2016 | 41 | 2016 |
| Hull shape design optimization with parameter space and model reductions, and self-learning mesh morphing N Demo, M Tezzele, A Mola, G Rozza Journal of Marine Science and Engineering 9 (2), 185, 2021 | 39 | 2021 |
| 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 (40), 2020 | 39 | 2020 |
| Basic ideas and tools for projection-based model reduction of parametric partial differential equations G Rozza, M Hess, G Stabile, M Tezzele, F Ballarin Snapshot-Based Methods and Algorithms, 1-47, 2020 | 37* | 2020 |
| A digital twin framework for civil engineering structures M Torzoni, M Tezzele, S Mariani, A Manzoni, KE Willcox Computer Methods in Applied Mechanics and Engineering 418, 116584, 2024 | 35 | 2024 |
| PyGeM: Python geometrical morphing M Tezzele, N Demo, A Mola, G Rozza Software Impacts 7, 100047, 2020 | 33 | 2020 |
| Model order reduction by means of active subspaces and dynamic mode decomposition for parametric hull shape design hydrodynamics M Tezzele, N Demo, M Gadalla, A Mola, G Rozza Technology and Science for the Ships of the Future: Proceedings of NAV 2018 …, 2018 | 32 | 2018 |
| A supervised learning approach involving active subspaces for an efficient genetic algorithm in high-dimensional optimization problems N Demo, M Tezzele, G Rozza SIAM Journal on Scientific Computing 43 (3), B831–B853, 2021 | 30 | 2021 |
| Shape optimization through proper orthogonal decomposition with interpolation and dynamic mode decomposition enhanced by active subspaces M Tezzele, N Demo, G Rozza 8th International Conference on Computational Methods in Marine Engineering …, 2019 | 30 | 2019 |
| An efficient shape parametrisation by free-form deformation enhanced by active subspace for hull hydrodynamic ship design problems in open source environment N Demo, M Tezzele, A Mola, G Rozza ISOPE International Ocean and Polar Engineering Conference, ISOPE-I-18-481, 2018 | 29 | 2018 |
| 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 | 26 | 2021 |
| Reduced order isogeometric analysis approach for PDEs in parametrized domains F Garotta, N Demo, M Tezzele, M Carraturo, A Reali, G Rozza Quantification of Uncertainty: Improving Efficiency and Technology, 153-170, 2020 | 25 | 2020 |
Gianluigi RozzaFull Professor of Numerical Analysis, SISSA, Int. School for Adv. Studies, Italy and ERC PIEmail verificata su sissa.it
