activity
20182026
most citedNon-linear manifold ROM with Convolutional Autoencoders and Reduced Over-Collocation method

9 citations · 18 across the 26 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

math.NA2019

A novel iterative penalty method to enforce boundary conditions in Finite Volume POD-Galerkin reduced order models for fluid dynamics problems

S. Kelbij Star, Giovanni Stabile, Francesco Belloni +2

A Finite-Volume based POD-Galerkin reduced order model is developed for fluid dynamics problems where the (time-dependent) boundary conditions are controlled using two different bo…

math.NA2019

Bayesian identification of a projection-based Reduced Order Model for Computational Fluid Dynamics

Giovanni Stabile, Bojana Rosic

In this paper we propose a Bayesian method as a numerical way to correct and stabilise projection-based reduced order models (ROM) in computational fluid dynamics problems. The app…

math.NA2019

A Reduced-Order Shifted Boundary Method for Parametrized incompressible Navier-Stokes equations

Efthymios N. Karatzas, Giovanni Stabile, Leo Nouveau +2

We investigate a projection-based reduced-order model of the steady incompressible Navier-Stokes equations for moderate Reynolds numbers. In particular, we construct an "embedded"…

math.NA2019

A Hybrid Reduced Order Method for Modelling Turbulent Heat Transfer Problems

Sokratia Georgaka, Giovanni Stabile, Kelbij Star +2

A parametric, hybrid reduced order model approach based on the Proper Orthogonal Decomposition with both Galerkin projection and interpolation based on Radial Basis Functions metho…

math.NA2019

Efficient Geometrical parametrization for Finite-Volume based Reduced Order Methods

Giovanni Stabile, Matteo Zancanaro, Gianluigi Rozza

In this work, we present an approach for the efficient treatment of parametrized geometries in the context of POD-Galerkin reduced order methods based on Finite Volume full order a…