Real-world applications of computational fluid dynamics often involve th...
A slow decaying Kolmogorov n-width of the solution manifold of a paramet...
This article presents a Galerkin projection model order reduction approa...
This article presents an innovative approach for developing an efficient...
Problems with dominant advection, discontinuities, travelling features, ...
Tumble dryers offer a fast and convenient way of drying textiles indepen...
In this chapter we examine reduced order techniques for geometrical
para...
Parametric time-dependent systems are of a crucial importance in modelin...
In order to shed light on the Vertical-Axis Wind Turbines (VAWT) wake
ch...
In recent years, large-scale numerical simulations played an essential r...
Convolutional Neural Network (CNN) is one of the most important architec...
In this work, we investigate the estimation of the transient mold-slab h...
In this paper, we propose hybrid data-driven ROM closures for fluid flow...
In this paper, we develop data-driven closure/correction terms to increa...
This article provides a reduced order modelling framework for turbulent
...
Non-affine parametric dependencies, nonlinearities and advection-dominat...
We consider fully discrete embedded finite element approximations for a
...
In this work, the Immersed Boundary Method (IBM) with feedback forcing
i...
Models with dominant advection always posed a difficult challenge for
pr...
Geometrically parametrized Partial Differential Equations are nowadays w...
In the present work, we consider the industrial problem of estimating in...
In this work, Dynamic Mode Decomposition (DMD) and Proper Orthogonal
Dec...
In this work we present an advanced computational pipeline for the
appro...
A Finite-Volume based POD-Galerkin reduced order model is developed for ...
We provide first the functional analysis background required for reduced...
In this paper we propose a Bayesian method as a numerical way to correct...
In this paper we propose a Bayesian method as a numerical way to correct...
In this work we present a Reduced Order Model which is specifically desi...
We investigate a projection-based reduced-order model of the steady
inco...
A parametric, hybrid reduced order model approach based on the Proper
Or...
In this manuscript the development of a reduced order model for the anal...