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ORCIDAnna Ivagnes
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2020 – today
- 2024
[i6]Anna Ivagnes, Niccolò Tonicello, Paola Cinnella, Gianluigi Rozza:
Enhancing non-intrusive Reduced Order Models with space-dependent aggregation methods. CoRR abs/2403.05710 (2024)- [i5]Anna Ivagnes, Giovanni Stabile, Gianluigi Rozza:
Parametric Intrusive Reduced Order Models enhanced with Machine Learning Correction Terms. CoRR abs/2406.04169 (2024) - 2023
- [j4]Anna Ivagnes
, Giovanni Stabile, Andrea Mola, Traian Iliescu, Gianluigi Rozza:
Hybrid data-driven closure strategies for reduced order modeling. Appl. Math. Comput. 448: 127920 (2023) - [j3]Anna Ivagnes, Giovanni Stabile, Andrea Mola, Traian Iliescu, Gianluigi Rozza:
Pressure data-driven variational multiscale reduced order models. J. Comput. Phys. 476: 111904 (2023) - [j2]Dario Coscia, Anna Ivagnes, Nicola Demo, Gianluigi Rozza:
Physics-Informed Neural networks for Advanced modeling. J. Open Source Softw. 8(87): 5352 (2023) - [j1]Anna Ivagnes, Nicola Demo, Gianluigi Rozza:
Towards a Machine Learning Pipeline in Reduced Order Modelling for Inverse Problems: Neural Networks for Boundary Parametrization, Dimensionality Reduction and Solution Manifold Approximation. J. Sci. Comput. 95(1): 23 (2023) - [d1]Dario Coscia, Anna Ivagnes, Nicola Demo, Gianluigi Rozza:
PINA: Physics-Informed Neural networks for Advanced modeling. Zenodo, 2023
- [i4]Anna Ivagnes, Nicola Demo, Gianluigi Rozza:
A shape optimization pipeline for marine propellers by means of reduced order modeling techniques. CoRR abs/2305.07515 (2023) - 2022
- [i3]Anna Ivagnes, Giovanni Stabile, Andrea Mola, Traian Iliescu, Gianluigi Rozza:
Pressure Data-Driven Variational Multiscale Reduced Order Models. CoRR abs/2205.15118 (2022) - [i2]Anna Ivagnes, Giovanni Stabile, Andrea Mola, Traian Iliescu, Gianluigi Rozza:
Hybrid Data-Driven Closure Strategies for Reduced Order Modeling. CoRR abs/2207.10531 (2022) - [i1]Anna Ivagnes, Nicola Demo, Gianluigi Rozza:
Towards a machine learning pipeline in reduced order modelling for inverse problems: neural networks for boundary parametrization, dimensionality reduction and solution manifold approximation. CoRR abs/2210.14764 (2022)
Coauthor Index
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