IVAGNES, ANNA
IVAGNES, ANNA
A new data-driven energy-stable evolve-filter-relax model for turbulent flow simulation
2026-01-01 Ivagnes, Anna; Van Gastelen, Toby; Døving Agdestein, Syver; Sanderse, Benjamin; Stabile, Giovanni; Rozza, Gianluigi
A shape optimization pipeline for marine propellers by means of reduced order modeling techniques
2024-01-01 Ivagnes, Anna; Demo, Nicola; Rozza, Gianluigi
Data-driven closure strategies for parametrized reduced-order models via deep operator networks
2026-01-01 Ivagnes, A.; Stabile, G.; Rozza, G.
Data‐Driven Optimization for the Evolve‐Filter‐Relax Regularization of Convection‐Dominated Flows
2025-01-01 Ivagnes, Anna; Strazzullo, Maria; Girfoglio, Michele; Iliescu, Traian; Rozza, Gianluigi
Enhancing non-intrusive reduced-order models with space-dependent aggregation methods
2024-01-01 Ivagnes, Anna; Tonicello, Niccolò; Cinnella, Paola; Rozza, Gianluigi
Hybrid data-driven closure strategies for reduced order modeling
2023-01-01 Ivagnes, A.; Stabile, G.; Mola, A.; Iliescu, T.; Rozza, G.
Machine Learning-Based Quadratic Closures for Non-Intrusive Reduced Order Models
2026-01-01 Codega, Gabriele; Ivagnes, Anna; Demo, Nicola; Rozza, Gianluigi
Physics-Informed Neural networks for Advanced modeling
2023-01-01 Coscia, Dario; Ivagnes, Anna; Demo, Nicola; Rozza, Gianluigi
Pressure data-driven variational multiscale reduced order models
2023-01-01 Ivagnes, A.; Stabile, G.; Mola, A.; Iliescu, T.; Rozza, G.
Reduced Order Modeling in Computational Fluid Dynamics: An Overview of Methods and Applications
2025-01-01 Ivagnes, A.; Khamlich, M.; Siena, P.; Rozza, G.
Towards a Machine Learning Pipeline in Reduced Order Modelling for Inverse Problems: Neural Networks for Boundary Parametrization, Dimensionality Reduction and Solution Manifold Approximation
2023-01-01 Ivagnes, A.; Demo, N; Rozza, G.