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De Ponti N, Farinelli S. Indeterminacy estimates, eigenfunctions and lower bounds on Wasserstein distances. [Internet]. 2022 ;61(4):131. Available from:
Della Marca R, Ramos Mda Piedade, Ribeiro C, Soares AJacinta. Mathematical modelling of oscillating patterns for chronic autoimmune diseases. Mathematical Methods in the Applied SciencesMathematical Methods in the Applied SciencesMath Meth Appl Sci [Internet]. 2022 ;n/a(n/a). Available from:
Papapicco D, Demo N, Girfoglio M, Stabile G, Rozza G. 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 [Internet]. 2022 ;392. Available from:
Meneghetti L, Demo N, Rozza G. A Proper Orthogonal Decomposition Approach for Parameters Reduction of Single Shot Detector Networks. In: 2022 IEEE International Conference on Image Processing (ICIP). 2022 IEEE International Conference on Image Processing (ICIP). ; 2022.
Della Marca R, Loy N, Tosin A. An SIR–like kinetic model tracking individuals' viral load. Networks and Heterogeneous Media. 2022 :-.
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. 2021 .
Meneghetti L, Demo N, Rozza G. A Dimensionality Reduction Approach for Convolutional Neural Networks. 2021 .
Andreuzzi F, Demo N, Rozza G. A dynamic mode decomposition extension for the forecasting of parametric dynamical systems. arXiv preprint arXiv:2110.09155. 2021 .
Demo N, Ortali G, Gustin G, Rozza G, Lavini G. An efficient computational framework for naval shape design and optimization problems by means of data-driven reduced order modeling techniques. Bolletino dell Unione Matematica Italiana. 2021 ;14:211-230.
Bachmann S, De Roeck W, Fraas M, Lange M. Exactness of Linear Response in the Quantum Hall Effect. Annales Henri Poincaré [Internet]. 2021 ;22:1113–1132. Available from:
Demo N, Tezzele M, Mola A, Rozza G. Hull Shape Design Optimization with Parameter Space and Model Reductions, and Self-Learning Mesh Morphing. Journal of Marine Science and Engineering [Internet]. 2021 ;9:185. Available from:
Papapicco D, Demo N, Girfoglio M, Stabile G, Rozza G. The Neural Network shifted-Proper Orthogonal Decomposition: a Machine Learning Approach for Non-linear Reduction of Hyperbolic Equations. 2021 .
Star K, Stabile G, Belloni F, Rozza G, Degroote J. 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. 2021 ;30:34–66.
Agostinelli D, Noselli G, DeSimone A. Nutations in growing plant shoots as a morphoelastic flutter instability. Phil. Trans. R. Soc. A [Internet]. 2021 ;379. Available from:
Agostinelli D, DeSimone A, Noselli G. Nutations in plant shoots: Endogenous and exogenous factors in the presence of mechanical deformations. Frontiers in Plant Science [Internet]. 2021 ;12. Available from:
Star K, Stabile G, Rozza G, Degroote J. A POD-Galerkin reduced order model of a turbulent convective buoyant flow of sodium over a backward-facing step. Applied Mathematical Modelling. 2021 ;89:486-503.
Tezzele M, Demo N, Mola A, Rozza G. PyGeM: Python Geometrical Morphing. Software Impacts. 2021 ;7:100047.
Dal Maso G, Sapio F. Quasistatic Limit of a Dynamic Viscoelastic Model with Memory. [Internet]. 2021 . Available from:
De Masi L. Rectifiability of the free boundary for varifolds. Indiana Univ. Math. J. 2021 ;70:2603–2651.
Star K, Sanderse B, Stabile G, Rozza G, Degroote J. 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 [Internet]. 2021 ;93:2694–2722. Available from:
De Philippis G, Marini M, Mukoseeva E. The sharp quantitative isocapacitary inequality. Revista Matematica Iberoamericana [Internet]. 2021 ;37(6):2191 - 2228. Available from:
Demo N, Tezzele M, Rozza G. A supervised learning approach involving active subspaces for an efficient genetic algorithm in high-dimensional optimization problems. SIAM Journal on Scientific Computing [Internet]. 2021 ;43(3). Available from:


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