50 citations · 126 across the 13 of their papers we have counts for
4 papers · 1 filter
Data-Driven Enhanced Model Reduction for Bifurcating Models in Computational Fluid Dynamics
Martin W. Hess, Annalisa Quaini, Gianluigi Rozza
We investigate various data-driven methods to enhance projection-based model reduction techniques with the aim of capturing bifurcating solutions. To show the effectiveness of the…
Model Reduction Using Sparse Polynomial Interpolation for the Incompressible Navier-Stokes Equations
Martin W. Hess, Gianluigi Rozza
This work investigates the use of sparse polynomial interpolation as a model order reduction method for the incompressible Navier-Stokes equations. Numerical results are presented…
A Data-Driven Surrogate Modeling Approach for Time-Dependent Incompressible Navier-Stokes Equations with Dynamic Mode Decomposition and Manifold Interpolation
Martin W. Hess, Annalisa Quaini, Gianluigi Rozza
This work introduces a novel approach for data-driven model reduction of time-dependent parametric partial differential equations. Using a multi-step procedure consisting of proper…
Reduced order modeling for spectral element methods: current developments in Nektar++ and further perspectives
Martin W. Hess, Andrea Lario, Gianmarco Mengaldo +1
In this paper, we present recent efforts to develop reduced order modeling (ROM) capabilities for spectral element methods (SEM). Namely, we detail the implementation of ROM for bo…