Friedrichs' systems discretized with the Discontinuous Galerkin method: domain decomposable model order reduction and Graph Neural Networks approximating …
Friedrichs' systems (FS) are symmetric positive linear systems of first-order partial differential
equations (PDEs), which provide a unified framework for describing various elliptic …
equations (PDEs), which provide a unified framework for describing various elliptic …
A brief review of Reduced Order Models using intrusive and non-intrusive techniques
G Padula, M Girfoglio, G Rozza - arXiv preprint arXiv:2406.00559, 2024 - arxiv.org
Reduced Order Models (ROMs) have gained a great attention by the scientific community in
the last years thanks to their capabilities of significantly reducing the computational cost of …
the last years thanks to their capabilities of significantly reducing the computational cost of …
Optimisation--Based Coupling of Finite Element Model and Reduced Order Model for Computational Fluid Dynamics
With the increased interest in complex problems, such as multiphysics and multiscale
models, as well as real-time computations, there is a strong need for domain-decomposition …
models, as well as real-time computations, there is a strong need for domain-decomposition …
An optimization-based coupling of reduced order models with efficient reduced adjoint basis generation approach
Optimization-based coupling (OBC) is an attractive alternative to traditional Lagrange
multiplier approaches in multiple modeling and simulation contexts. However, application of …
multiplier approaches in multiple modeling and simulation contexts. However, application of …
A time-adaptive algorithm for pressure dominated flows: a heuristic estimator
This work aims to introduce a heuristic timestep-adaptive algorithm for Computational Fluid
Dynamics (CFD) and Fluid-Structure Interaction (FSI) problems where the flow is dominated …
Dynamics (CFD) and Fluid-Structure Interaction (FSI) problems where the flow is dominated …