An Online Stabilization Method for Parametrized Viscous Flows. In: Reduction, Approximation, Machine Learning, Surrogates, Emulators and Simulators. Reduction, Approximation, Machine Learning, Surrogates, Emulators and Simulators. Springer, Cham; 2024. Available from: https://link.springer.com/chapter/10.1007/978-3-031-55060-7_1
. A reduced basis stabilization for the unsteady Stokes and Navier-Stokes equations. ADVANCES IN COMPUTATIONAL SCIENCE AND ENGINEERING [Internet]. 2023 ;1(2):180-221. Available from: https://publires.unicatt.it/en/publications/a-reduced-basis-stabilization-for-the-unsteady-stokes-and-navier-
Finite element based Model Order Reduction for parametrized one-way coupled steady state linear thermo-mechanical problems. Finite Elements in Analysis and Design [Internet]. 2022 ;212. Available from: https://www.sciencedirect.com/science/article/abs/pii/S0168874X2200110X
. Thermomechanical Modelling for Industrial Applications. In: Progress in Industrial Mathematics at ECMI 2021. Progress in Industrial Mathematics at ECMI 2021. Online conference hosted by the Bergische Universität Wuppertal: Springer, Cham; 2022. Available from: https://link.springer.com/chapter/10.1007/978-3-031-11818-0_28
. Stabilized reduced basis methods for parametrized steady Stokes and Navier–Stokes equations. Computers & Mathematics with Applications [Internet]. 2020 ;80(11):2399-2416. Available from: https://www.sciencedirect.com/science/article/pii/S0898122120301231
.