Summer School on Reduced Order Methods in Computational Fluid Dynamics

Europe/Rome
SISSA, International School for Advanced Studies, Main Campus, Trieste, Italy

SISSA, International School for Advanced Studies, Main Campus, Trieste, Italy

Via Bonomea 265, 34136 Trieste, Italy
Description

The scope and the structure of the Summer School (II Edition)

The scope of the summer school is to provide an overview of reduced order methods with particular emphasis on fluid dynamics problems. The school will start with a brief introduction on the different full order discretization techniques usually employed in computational fluid dynamics (Finite Element and Finite Volume Method) and will later introduce different reduced order modeling strategies.

The methodologies introduced during the classes will also be employed during practical exercises using the computational framework developed at SISSA. In particular the libraries RBniCS and ITHACA-FV, maintained by the SISSA mathLab group, will be used.

This is the second edition, the previous Summer School on Reduced Order Methods in Computational Fluid Dynamics was held in July 2019, in Trieste.

SISSA Lecturers: Gianluigi Rozza, Giovanni Stabile, Michele Girfoglio, Martin Hess, Davide Torlo, Nicola Demo, Caterina Balzotti, Anna Ivagnes, Francesco Romor, Martina Teruzzi, Anna Nikishova, Martina Cracco, Laura Meneghetti.

Guest Lecturers: Francesco Ballarin (Catholic University of the Sacred Heart Brescia), Andrea Mola (IMT School for Advanced Studies Lucca), Federico Pichi (École Polytechnique Fédérale de Lausanne), Maria Strazzullo (Politecnico di Torino), Marco Tezzele (The University of Texas at Austin), Efthymios Karatzas. (National Technical University of Athens), Monica Nonino (University of Vienna), Samuele Rubino (University of Sevilla, Spain), Romit Maulik (Argonne National Laboratories, US).

Scientific Committee: Gianluigi RozzaGiovanni Stabile, Michele Girfoglio.

Organizing Committee: SISSA mathLab staff.

The Summer School will be of 5 days; Also, there will be a poster session open to students and early postdocs. Participants are encouraged to prepare a poster that summarizes their research activity that will be presented during the summer school.

Group photo of the second edition of the Summer School on Reduced Order Methods in Computational Fluid Dynamics (July 2022).

The school is organized in cooperation with SISSA SIAM student chapter and it is inserted in the framework of the ERC AROMA-CFD, ERC POC ARGOS, ARIA (Accurate ROMs for Industrial Applications) and eFlows4HPC (Enabling Dynamic and Intelligent workflows in the future EuroHPC ecosystem) projects.

 

 

 

Registration
Registration Form
    • 1:45 PM 2:00 PM
      Opening 15m
    • 2:00 PM 2:45 PM
      Introduction on Reduced Order Methods in CFD: State of the art and Perspectives 45m
      Speaker: Prof. Gianluigi Rozza
    • 2:45 PM 3:30 PM
      A brief Technical Introduction on Reduced Order Methods based on Galerkin Projection 45m
      Speaker: Prof. Gianluigi Rozza
    • 3:30 PM 4:00 PM
      Coffe Break 30m
    • 4:00 PM 4:45 PM
      Basics Of the Finite Element Method 45m
      Speaker: Dr Maria Strazzullo
    • 4:45 PM 5:30 PM
      Reduced Basis for Finite Element Problems 45m
      Speaker: Dr Maria Strazzullo
    • 5:30 PM 6:15 PM
      A posteriori error estimation for certified reduced basis methods 45m
      Speaker: Dr Federico Pichi
    • 9:00 AM 9:45 AM
      Non-affine (and nonlinear) problems 45m
      Speaker: Dr Federico Pichi
    • 9:45 AM 10:30 AM
      Reduced Order Methods for Flow Control 45m
      Speaker: Dr Maria Strazzullo
    • 10:30 AM 11:00 AM
      Coffe Break 30m
    • 11:00 AM 11:45 AM
      Reduced order modelling in bifurcating parametrised non-linear equations 45m
      Speaker: Dr Federico Pichi
    • 11:45 AM 12:30 PM
      Best Practices in Programming 45m
      Speaker: Dr Nicola Demo
    • 12:30 PM 2:00 PM
      Lunch Break 1h 30m
    • 2:00 PM 2:45 PM
      Practical Session with RBniCS I : worked problems 45m
      Speakers: Dr Maria Strazzullo, Dr Federico Pichi, Dr Davide Torlo
    • 2:45 PM 3:30 PM
      Practical Session with RBniCS II : worked problems 45m
      Speakers: Dr Maria Strazzullo, Dr Federico Pichi, Dr Davide Torlo
    • 3:30 PM 4:00 PM
      Coffe Break 30m
    • 4:00 PM 4:45 PM
      Reduced Order Models for Fluid Structure Interaction 45m
      Speaker: Dr Monica Nonino
    • 4:45 PM 5:30 PM
      Non-intrusive data-driven reduced order model for biomedical applications 45m
      Speakers: Dr Michele Girfoglio, Dr Caterina Balzotti
    • 5:30 PM 6:15 PM
      Data-driven reduced order modeling of natural convection in porous media using convolutional autoencoders and Barlow Twins self-supervised learning 45m
      Speaker: Dr Francesco Ballarin
    • 9:00 AM 9:45 AM
      POD-ROMs for incompressible flows: local projection, supremizers stabilization and RANS turbulence models 45m
      Speaker: Dr Samuele Rubino
    • 9:45 AM 10:30 AM
      Reduced Basis for Embedded Methods 45m
      Speaker: Dr Efthymios Karatzas
    • 10:30 AM 11:00 AM
      Coffe Break 30m
    • 11:00 AM 11:45 AM
      Weighted Reduced Order approaches for Uncertainty Quantification 45m
      Speaker: Dr Davide Torlo
    • 11:45 AM 12:30 PM
      Spectral Element Method for Computational Fluid Dynamics 45m
      Speaker: Dr Martin Hess
    • 12:30 PM 2:00 PM
      Lunch Break 1h 30m
    • 2:00 PM 3:30 PM
      Introduction on the Finite Volume Method and turbulence modelling 1h 30m
      Speaker: Dr Giovanni Stabile
    • 3:30 PM 4:00 PM
      Coffe Break 30m
    • 4:00 PM 4:45 PM
      Non-intrusive reduced-order modeling using scientific machine learning 45m
      Speaker: Dr Romit Maulik
    • 4:45 PM 5:33 PM
      Poster blitz
      • 4:45 PM
        Non-linear reduction for data-driven non-intrusive reduced-order models with parallel autoencoders 3m
        Speaker: Aly Karim Yehia
      • 4:48 PM
        A continuous trainable filter for convolution with unstructured data 3m
        Speaker: Dario Coscia
      • 4:51 PM
        Comparing Different Nonlinear Dimensionality Reduction Techniques for Data-Driven Unsteady Fluid Flow Modeling 3m
        Speaker: Hunor Csala
      • 4:54 PM
        SHOPROMs: SHip Optimization with Reduced Order Methods 3m
        Speaker: Lorenzo Fabris
      • 4:57 PM
        A Digital Twin of an Operating Theater 3m
        Speaker: Giovanna Gargiulo
      • 5:00 PM
        Adjacency-based DMD on Deforming Grids for Vortex-Induced Vibrations 3m
        Speaker: Leonidas Konstantinos Gkimisis
      • 5:03 PM
        A novel deep learning architecture for the model reduction of parametric time-dependent problems 3m
        Speaker: Isabella Carla Gonnella
      • 5:06 PM
        A data-driven reduced order modeling framework for shape optimization of marine propellers 3m
        Speaker: Anna Ivagnes
      • 5:09 PM
        ROM for Large-scale Modelling of Urban Air Pollution 3m
        Speaker: Moaad Khamlich
      • 5:12 PM
        A reduced order model for segregated FSI solvers based on a ALE approach 3m
        Speaker: Valentin Nkana
      • 5:15 PM
        A Numerical Proof of Shell Model Turbulence Closure 3m
        Speaker: Giulio Ortali
      • 5:18 PM
        Machine Learning and Optimal Transport for shape parametrisation 3m
        Speaker: Guglielmo Padula
      • 5:21 PM
        Data Driven Methods for Delay-Differential Equations 3m
        Speaker: Alessandro Pecile
      • 5:24 PM
        A reduced order model for the optimisation-based domain decomposition algorithm for the incompressible Navier-Stokes equations 3m
        Speaker: Ivan Prusak
      • 5:27 PM
        Reduced order model of airflow in a room with two unidirectional air diffusers 3m
        Speaker: Dario Pupic
      • 5:30 PM
        A machine learning-based reduced order model for the investigation of the haemodynamics in coronary artery bypass grafts 3m
        Speaker: Piefrancesco Siena
    • 5:33 PM 6:18 PM
      Aperitif and posters discussion 45m
    • 9:00 AM 9:45 AM
      Computational reduction for CFD problems with turbulence 45m
      Speaker: Dr Giovanni Stabile
    • 9:45 AM 10:30 AM
      A Reduced Order Model for a LES filtering approach in a Finite Volume environment 45m
      Speaker: Dr Michele Girfoglio
    • 10:30 AM 11:00 AM
      Coffe Break with Group Picture 30m
    • 11:00 AM 11:45 AM
      Reduction in the parameter space 45m
      Speaker: Dr Marco Tezzele
    • 11:45 AM 12:30 PM
      Non-Intrusive Reduced Order Models for CFD 45m
      Speaker: Dr Marco Tezzele (SISSA)
    • 12:30 PM 2:00 PM
      Lunch Break 1h 30m
    • 2:00 PM 2:45 PM
      Practical Session with ITHACA-FV 45m
      Speaker: Dr Giovanni Stabile
    • 2:45 PM 3:30 PM
      Practical Session with ITHACA-FV 45m
      Speaker: Dr Giovanni Stabile
    • 3:30 PM 4:00 PM
      Coffe Break 30m
    • 4:00 PM 4:45 PM
      Python Companion packages for preprocessing 45m
      Speaker: Dr Nicola Demo
    • 4:45 PM 5:30 PM
      ROM and Industrial Applications 45m
      Speaker: Dr Andrea Mola
    • 5:30 PM 6:15 PM
      An efficient computational framework for atmospheric and ocean flows 45m
      Speaker: Dr Michele Girfoglio
    • 8:00 PM 9:30 PM
      Dinner In Trieste 1h 30m
    • 9:00 AM 9:30 AM
      A Reduced Approach for Artificial Neural Networks 30m
      Speaker: Dr Laura Meneghetti
    • 9:30 AM 10:00 AM
      Digital Twins: state of the art and future challenges 30m
      Speaker: Dr Martina Teruzzi
    • 10:00 AM 10:30 AM
      Application of Neural Networks in the optimisation of a hybrid energy system 30m
      Speaker: Dr Anna Nikishova
    • 10:30 AM 11:00 AM
      Coffe break 30m
    • 11:00 AM 11:30 AM
      Deep-learning based ROMs for fast transient dynamics 30m
      Speaker: Dr Martina Cracco
    • 11:30 AM 12:00 PM
      Data Enhanced Reduced Order Models for Turbulent Flows 30m
      Speaker: Dr Anna Ivagnes
    • 12:00 PM 12:30 PM
      Non-linear MOR: non-linear manifold method 30m
      Speaker: Dr Francesco Romor
    • 12:30 PM 12:45 PM
      Conclusion 15m