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Software
========
.. dropdown:: RBniCS - reduced order modelling in FEniCS

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            .. image:: https://www.rbnicsproject.org/_images/rbnics-logo-small.png
    

    
        The **RBniCS** Project contains an implementation in **FEniCS** of several reduced order modelling techniques for parametrized problems.
    
        **RBniCS** is currently developed and maintained at `Università Cattolica del Sacro Cuore <https://www.unicatt.it/>`_ by `Dr. Francesco Ballarin <https://www.francescoballarin.it/>`_ in collaboration with `Prof. Gianluigi Rozza <https://people.sissa.it/~grozza/>`_'s group at `SISSA mathLab <http://mathlab.sissa.it/>`_. The financial support of the `AROMA-CFD ERC CoG project <https://people.sissa.it/~grozza/aroma-cfd/>`_ is gratefully acknowledged.
    
        Like all core **FEniCS** components, **RBniCS** is freely available under the GNU LGPL, version 3.
    

        :bdg-primary-line:`Home page`

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            https://www.rbnicsproject.org/

        :bdg-primary-line:`Source code`

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            https://github.com/rbnics/rbnics

        :bdg-primary-line:`Years active`

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            2015-ongoing
.. dropdown:: multiphenics/multiphenicsx - easy prototyping of multiphysics problems in FEniCS/FEniCSx

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            .. image:: https://raw.githubusercontent.com/multiphenics/multiphenics/master/docs/multiphenics-logo-small.png
    
            .. image:: https://raw.githubusercontent.com/multiphenics/multiphenicsx/main/docs/multiphenicsx-logo-small.png
    

    
        **multiphenics** and **multiphenicsx** are python libraries that aim at providing tools in **FEniCS** and **FEniCSx**, respectively, for an easy prototyping of multiphysics problems on conforming meshes. In particular, they facilitate the definition of subdomain/boundary restricted variables.
    
        **multiphenics** and **multiphenicsx** are currently developed and maintained at `Università Cattolica del Sacro Cuore <https://www.unicatt.it/>`_ by `Dr. Francesco Ballarin <https://www.francescoballarin.it/>`_ in collaboration with `Prof. Gianluigi Rozza <https://people.sissa.it/~grozza/>`_'s group at `SISSA mathLab <http://mathlab.sissa.it/>`_. The financial support of the `AROMA-CFD ERC CoG project <https://people.sissa.it/~grozza/aroma-cfd/>`_ is gratefully acknowledged.
    
        Like all core **FEniCS** and **FEniCSx** components, **multiphenics** and **multiphenicsx** are freely available under the GNU LGPL, version 3.
    

        :bdg-primary-line:`Home page`

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            https://mathlab.sissa.it/multiphenics

        :bdg-primary-line:`Source code`

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            https://github.com/multiphenics/multiphenics, https://github.com/multiphenics/multiphenicsx

        :bdg-primary-line:`Years active`

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            2016-ongoing
.. dropdown:: FEMlium - interactive visualization of finite element simulations on geographic maps with folium

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            .. image:: https://femlium.github.io/_images/FEMlium-logo.png
    

    
        **FEMlium** is a library that enables visualizing finite element simulations on geographic maps using **folium**. Several finite element backends are supported, namely dolfin, dolfinx and firedrake.
    
        **FEMlium** is currently developed and maintained at `Università Cattolica del Sacro Cuore <https://www.unicatt.it/>`_ by `Dr. Francesco Ballarin <https://www.francescoballarin.it/>`_. The financial support of the `D.3.2 ACCURATE project <https://asa.unicatt.it/asa-progetti-accurate>`_ is gratefully acknowledged.
    
        Like **folium**, **FEMlium** is freely available under the MIT license.
    

        :bdg-primary-line:`Home page`

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            https://femlium.github.io/

        :bdg-primary-line:`Source code`

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            https://github.com/FEMlium/FEMlium

        :bdg-primary-line:`Years active`

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            2021-ongoing
.. dropdown:: FEM on Colab/FEM on Kaggle

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            .. image:: https://fem-on-colab.github.io/_images/fem-on-colab-logo.png
    
            .. image:: https://fem-on-kaggle.github.io/_images/fem-on-kaggle-logo.png
    

    
        **FEM on Colab** is a collection of packages that allows to easily install several finite element libraries on Google Colab. Currently supported libraries are FEniCS, FEniCSx, firedrake and ngsolve. **FEM on Kaggle** is a spin-off of **FEM on Colab** to install the same libraries on Kaggle.
    
        **FEM on Colab** and **FEM on Kaggle** are currently developed and maintained at `Università Cattolica del Sacro Cuore <https://www.unicatt.it/>`_ by `Dr. Francesco Ballarin <https://www.francescoballarin.it/>`_.
    
        **FEM on Colab** and **FEM on Kaggle** are freely available under the MIT license.
    

        :bdg-primary-line:`Home page`

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            https://fem-on-colab.github.io/, https://fem-on-kaggle.github.io/

        :bdg-primary-line:`Source code`

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            https://github.com/fem-on-colab/fem-on-colab, https://github.com/fem-on-kaggle/fem-on-kaggle

        :bdg-primary-line:`Years active`

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            2021-ongoing