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. 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: https://arxiv.org/abs/2006.07282
. Uniqueness and continuous dependence for a viscoelastic problem with memory in domains with time dependent cracks. [Internet]. 2021 . Available from: https://iris.sissa.it/handle/20.500.11767/125673
. A vanishing-inertia analysis for finite-dimensional rate-independent systems with nonautonomous dissipation and an application to soft crawlers. [Internet]. 2021 ;60(5):191. Available from: https://doi.org/10.1007/s00526-021-02067-6
. A weighted POD-reduction approach for parametrized PDE-constrained optimal control problems with random inputs and applications to environmental sciences. Computers and Mathematics with Applications [Internet]. 2021 ;102:261-276. Available from: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85117948561&doi=10.1016%2fj.camwa.2021.10.020&partnerID=40&md5=cb57d59a6975a35315b2cf5d0e3a6001
. Well-Ordered and Non-Well-Ordered Lower and Upper Solutions for Periodic Planar Systems. Advanced Nonlinear Studies [Internet]. 2021 ;21(2):397 - 419. Available from: https://doi.org/10.1515/ans-2021-2117
. Advances in reduced order methods for parametric industrial problems in computational fluid dynamics. In: Proceedings of the 6th European Conference on Computational Mechanics: Solids, Structures and Coupled Problems, ECCM 2018 and 7th European Conference on Computational Fluid Dynamics, ECFD 2018. Proceedings of the 6th European Conference on Computational Mechanics: Solids, Structures and Coupled Problems, ECCM 2018 and 7th European Conference on Computational Fluid Dynamics, ECFD 2018. ; 2020. Available from: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075395686&partnerID=40&md5=fb0b1a3cfdfd35a104db9921bc9be675
. On the Approximation of Quasistatic Evolutions for the Debonding of a Thin Film via Vanishing Inertia and Viscosity. [Internet]. 2020 ;30(3):903 - 951. Available from: https://doi.org/10.1007/s00332-019-09595-8
. Basic ideas and tools for projection-based model reduction of parametric partial differential equations. In: Model Order Reduction, Volume 2 Snapshot-Based Methods and Algorithms. Model Order Reduction, Volume 2 Snapshot-Based Methods and Algorithms. Berlin, Boston: De Gruyter; 2020. pp. 1 - 47. Available from: https://www.degruyter.com/view/book/9783110671490/10.1515/9783110671490-001.xml
. On the blow-up of GSBV functions under suitable geometric properties of the jump set. Advances in Calculus of Variations [Internet]. 2020 . Available from: https://doi.org/10.1515/acv-2019-0068
. Certified Reduced Basis VMS-Smagorinsky model for natural convection flow in a cavity with variable height. Computers and Mathematics with Applications [Internet]. 2020 ;80:973-989. Available from: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85085843368&doi=10.1016%2fj.camwa.2020.05.013&partnerID=40&md5=7c6596865ec89651319c7dd97159dd77
. On the continuity of the trace operator in GSBV (Ω) and GSBD (Ω). ESAIM: COCV [Internet]. 2020 ;26. Available from: https://doi.org/10.1051/cocv/2019014
. Data-driven POD-Galerkin reduced order model for turbulent flows. Journal of Computational Physics [Internet]. 2020 ;416:109513. Available from: https://arxiv.org/abs/1907.09909
. A dynamic model for viscoelastic materials with prescribed growing cracks. [Internet]. 2020 ;199(4):1263 - 1292. Available from: https://doi.org/10.1007/s10231-019-00921-1
. Efficient computation of bifurcation diagrams with a deflated approach to reduced basis spectral element method. Advances in Computational Mathematics [Internet]. 2020 . Available from: https://arxiv.org/abs/1912.06089
. Efficient Geometrical parametrization for finite-volume based reduced order methods. International Journal for Numerical Methods in Engineering [Internet]. 2020 ;121:2655-2682. Available from: https://arxiv.org/abs/1901.06373
. The Effort of Increasing Reynolds Number in Projection-Based Reduced Order Methods: from Laminar to Turbulent Flows. In: Lecture Notes in Computational Science and Engineering. Lecture Notes in Computational Science and Engineering. Cham: Springer International Publishing; 2020. pp. 245–264.
. Energy-dissipation balance of a smooth moving crack. [Internet]. 2020 ;483(2):123656. Available from: https://www.sciencedirect.com/science/article/pii/S0022247X19309242
. Enhancing CFD predictions in shape design problems by model and parameter space reduction. Advanced Modeling and Simulation in Engineering Sciences [Internet]. 2020 ;7(40). Available from: https://arxiv.org/abs/2001.05237
. Existence of solutions to a phase–field model of dynamic fracture with a crack–dependent dissipation. [Internet]. 2020 ;27(2):14. Available from: https://doi.org/10.1007/s00030-020-0617-z
. On functions having coincident p-norms. Annali di Matematica Pura ed Applicata (1923 -) [Internet]. 2020 ;199:955-968. Available from: https://doi.org/10.1007/s10231-019-00907-z
. A hybrid reduced order method for modelling turbulent heat transfer problems. Computers & Fluids [Internet]. 2020 ;208:104615. Available from: https://arxiv.org/abs/1906.08725
. Indeterminacy estimates and the size of nodal sets in singular spaces. [Internet]. 2020 . Available from: https://arxiv.org/abs/2011.04409
. MicroMotility: State of the art, recent accomplishments and perspectives on the mathematical modeling of bio-motility at microscopic scales. Mathematics in Engineering [Internet]. 2020 ;2:230. Available from: http://dx.doi.org/10.3934/mine.2020011
. MicroROM: An Efficient and Accurate Reduced Order Method to Solve Many-Query Problems in Micro-Motility. [Internet]. 2020 . Available from: https://arxiv.org/abs/2006.13836