Reduced order modeling is an important and fast-growing research field in computational
science and engineering, motivated by several reasons, of which we mention just a few …

Abstract We develop a Reduced Order Model (ROM) for the Navier-Stokes equations with
nonlinear filtering stabilization. Our approach, that can be interpreted as a Large Eddy …

We consider a Leray model with a deconvolution‐based indicator function for the simulation
of incompressible fluid flow at moderately large Reynolds number (in the range of a few …

We present a filter stabilization technique for the mildly compressible Euler equations that
relies on a linear or nonlinear indicator function to identify the regions of the domain where …

We discuss in this paper the validation of an open source framework for the solution of
problems arising in hemodynamics. The proposed framework is assessed through …

Abstract We present a Large Eddy Simulation (LES) approach based on a nonlinear
differential low-pass filter for the simulation of two-dimensional barotropic flows with under …

We consider a Leray model with a nonlinear differential low-pass filter for the simulation of
incompressible fluid flow at moderately large Reynolds number (in the range of a few …

The paper introduces a finite difference solver for the unsteady incompressible Navier–
Stokes equations based on adaptive cartesian octree grids. The method extends a stable …

The goal of this paper is to test solids4Foam, the fluid-structure interaction (FSI) toolbox
developed for foam-extend (a branch of OpenFOAM), and assess its flexibility in handling …

Reduced order models (ROMs) have achieved a lot of success in reducing the
computational cost of traditional numerical methods across many disciplines. For convection …