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math.NA2024
Parametric Intrusive Reduced Order Models enhanced with Machine Learning Correction Terms
Anna Ivagnes, Giovanni Stabile, Gianluigi Rozza
In this paper, we propose an equation-based parametric Reduced Order Model (ROM), whose accuracy is improved with data-driven terms added into the reduced equations. These addition…
math.NA2024
Enhancing non-intrusive Reduced Order Models with space-dependent aggregation methods
Anna Ivagnes, Niccolò Tonicello, Paola Cinnella +1
In this manuscript, we combine non-intrusive reduced order models (ROMs) with space-dependent aggregation techniques to build a mixed-ROM. The prediction of the mixed formulation i…