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2022
Buonomo B, Marca RDella, Sharbayta SSintayehu. A behavioral change model to assess vaccination-induced relaxation of social distancing during an epidemic. Journal of Biological Systems [Internet]. 2022 ;30(01):1-25. Available from: https://doi.org/10.1142/S0218339022500085
Hess MW, Quaini A, Rozza G. A comparison of reduced-order modeling approaches using artificial neural networks for PDEs with bifurcating solutions. ETNA - Electronic Transactions on Numerical Analysis. 2022 ;56:52–65.
Hess MW, Quaini A, Rozza G. Data-Driven Enhanced Model Reduction for Bifurcating Models in Computational Fluid Dynamics. 2022 .
Hess MW, Quaini A, Rozza G. A Data-Driven Surrogate Modeling Approach for Time-Dependent Incompressible Navier-Stokes Equations with Dynamic Mode Decomposition and Manifold Interpolation. 2022 .
Pichi F, Strazzullo M, Ballarin F, Rozza G. Driving bifurcating parametrized nonlinear PDEs by optimal control strategies: application to Navier–Stokes equations with model order reduction. ESAIM: M2AN [Internet]. 2022 ;56(4):1361 - 1400. Available from: https://doi.org/10.1051/m2an/2022044
De Ponti N, Farinelli S. Indeterminacy estimates, eigenfunctions and lower bounds on Wasserstein distances. [Internet]. 2022 ;61(4):131. Available from: https://doi.org/10.1007/s00526-022-02240-5
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.
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: https://doi.org/10.1002/mma.8229
Khamlich M, Pichi F, Rozza G. Model order reduction for bifurcating phenomena in fluid-structure interaction problems. International Journal for Numerical Methods in FluidsInternational Journal for Numerical Methods in FluidsInt J Numer Meth Fluids [Internet]. 2022 ;n/a(n/a). Available from: https://doi.org/10.1002/fld.5118
Hess MW, Rozza G. Model Reduction Using Sparse Polynomial Interpolation for the Incompressible Navier-Stokes Equations. 2022 .
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: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124488633&doi=10.1016%2fj.cma.2022.114687&partnerID=40&md5=12f82dcaba04c4a7c44f8e5b20101997
Andrini D, Noselli G, Lucantonio A. Optimal design of planar shapes with active materials. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences [Internet]. 2022 ;478:20220256. Available from: https://royalsocietypublishing.org/doi/abs/10.1098/rspa.2022.0256
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]. 2022 . Available from: https://arxiv.org/abs/2211.14528
Girfoglio M, Quaini A, Rozza G. A POD-Galerkin reduced order model for the Navier–Stokes equations in stream function-vorticity formulation. [Internet]. 2022 :105536. Available from: https://www.sciencedirect.com/science/article/pii/S0045793022001645
Nonino M, Ballarin F, Rozza G, Maday Y. Projection based semi–implicit partitioned Reduced Basis Method for non parametrized and parametrized Fluid–Structure Interaction problems. 2022 .
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 :-.
2021
Pichi F, Ballarin F, Rozza G, Hesthaven JS. An artificial neural network approach to bifurcating phenomena in computational fluid dynamics. 2021 .
Corsi G. Asymptotic approach to a rotational Taylor swimming sheet. Comptes Rendus. Mécanique. 2021 ;349:103–116.
Romor F, Tezzele M, Rozza G. ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis. Software Impacts. 2021 ;10:100133.
Strazzullo M, Ballarin F, Rozza G. A CERTIFIED REDUCED BASIS Method FOR LINEAR PARAMETRIZED PARABOLIC OPTIMAL CONTROL PROBLEMS IN SPACE-TIME FORMULATION. 2021 .
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
Strazzullo M, Girfoglio M, Ballarin F, Iliescu T, Rozza G. Consistency of the full and reduced order models for Evolve-Filter-Relax Regularization of Convection-Dominated, Marginally-Resolved Flows. 2021 .
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 .
Scagliotti A. Deep Learning Approximation of Diffeomorphisms via Linear-Control Systems. [Internet]. 2021 . Available from: https://arxiv.org/abs/2110.12393

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