Summer School on Reduced Order Methods in Computational Fluid Dynamics

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A brief Technical Introduction on Reduced Order Methods based on Galerkin Projection

A continuous trainable filter for convolution with unstructured data (in session "Poster blitz")

A data-driven reduced order modeling framework for shape optimization of marine propellers (in session "Poster blitz")

A Digital Twin of an Operating Theater (in session "Poster blitz")

A machine learning-based reduced order model for the investigation of the haemodynamics in coronary artery bypass grafts (in session "Poster blitz")

A novel deep learning architecture for the model reduction of parametric time-dependent problems (in session "Poster blitz")

A Numerical Proof of Shell Model Turbulence Closure (in session "Poster blitz")

A posteriori error estimation for certified reduced basis methods

A Reduced Approach for Artificial Neural Networks

A Reduced Order Model for a LES filtering approach in a Finite Volume environment

A reduced order model for segregated FSI solvers based on a ALE approach (in session "Poster blitz")

A reduced order model for the optimisation-based domain decomposition algorithm for the incompressible Navier-Stokes equations (in session "Poster blitz")

Adjacency-based DMD on Deforming Grids for Vortex-Induced Vibrations (in session "Poster blitz")

An efficient computational framework for atmospheric and ocean flows

Application of Neural Networks in the optimisation of a hybrid energy system

Basics Of the Finite Element Method

Best Practices in Programming

Comparing Different Nonlinear Dimensionality Reduction Techniques for Data-Driven Unsteady Fluid Flow Modeling (in session "Poster blitz")

Computational reduction for CFD problems with turbulence

Conclusion

Data Driven Methods for Delay-Differential Equations (in session "Poster blitz")

Data Enhanced Reduced Order Models for Turbulent Flows

Data-driven reduced order modeling of natural convection in porous media using convolutional autoencoders and Barlow Twins self-supervised learning

Deep-learning based ROMs for fast transient dynamics

Digital Twins: state of the art and future challenges

Introduction on Reduced Order Methods in CFD: State of the art and Perspectives

Introduction on the Finite Volume Method and turbulence modelling

Machine Learning and Optimal Transport for shape parametrisation (in session "Poster blitz")

Non-affine (and nonlinear) problems

Non-intrusive data-driven reduced order model for biomedical applications

Non-Intrusive Reduced Order Models for CFD

Non-intrusive reduced-order modeling using scientific machine learning

Non-linear MOR: non-linear manifold method

Non-linear reduction for data-driven non-intrusive reduced-order models with parallel autoencoders (in session "Poster blitz")

Opening

POD-ROMs for incompressible flows: local projection, supremizers stabilization and RANS turbulence models

Practical Session with ITHACA-FV

Practical Session with ITHACA-FV

Practical Session with RBniCS I : worked problems

Practical Session with RBniCS II : worked problems

Python Companion packages for preprocessing

Reduced Basis for Embedded Methods

Reduced Basis for Finite Element Problems

Reduced Order Methods for Flow Control

Reduced order model of airflow in a room with two unidirectional air diffusers (in session "Poster blitz")

Reduced order modelling in bifurcating parametrised non-linear equations

Reduced Order Models for Fluid Structure Interaction

Reduction in the parameter space

ROM and Industrial Applications

ROM for Large-scale Modelling of Urban Air Pollution (in session "Poster blitz")

SHOPROMs: SHip Optimization with Reduced Order Methods (in session "Poster blitz")

Spectral Element Method for Computational Fluid Dynamics

Weighted Reduced Order approaches for Uncertainty Quantification

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Events scheduled on*

7/11/22

7/12/22

7/13/22

7/14/22

7/15/22

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