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Seminar by Federico Pichi
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    :bdg-primary-line:`Speaker`

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        Federico Pichi (École Polytechnique Fédérale de Lausanne)

    :bdg-primary-line:`Title`

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        Projection-based and data-driven reduced order models for parametric bifurcation problems

    :bdg-primary-line:`Date`

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        * April 04, 2023 16:00 CEST+0200 (Europe/Rome)
        * April 04, 2023 10:00 EDT-0400 (US/Eastern)
        * April 04, 2023 09:00 CDT-0500 (US/Central)
        * April 04, 2023 07:00 PDT-0700 (US/Pacific)

    :bdg-primary-line:`Abstract`

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        Bifurcating phenomena, i.e. sudden changes in the system’s qualitative
        behavior linked to the solution’s non-uniqueness, naturally arise in
        several fields. We discuss both intrusive and non-intrusive Reduced
        Order Models for reconstructing bifurcation diagrams, whose associated
        cost is unaffordable using high-fidelity simulations. POD and deflated
        Greedy approaches are investigated and compared with data-driven ones
        based on neural networks. The proposed methodologies are tested on
        classical bifurcating benchmarks in fluid dynamics held by the
        Navier-Stokes equations and linked to Coanda’s effect.

    :bdg-primary-line:`Recording`

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        Watch the recording on `our YouTube channel <https://www.youtube.com/watch?v=diluyA30ifA>`_.