47 lines
1.8 KiB
ReStructuredText
47 lines
1.8 KiB
ReStructuredText
PINA Tutorials
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==============
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In this folder we collect useful tutorials in order to understand the principles and the potential of **PINA**.
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Getting started with PINA
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-------------------------
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.. toctree::
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:maxdepth: 3
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:titlesonly:
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`Introduction to PINA for Physics Informed Neural Networks training <tutorials/tutorial1/tutorial.html>`_
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`Introduction to PINA Equation class <tutorials/tutorial12/tutorial.html>`_
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`PINA and PyTorch Lightning, training tips and visualizations <tutorials/tutorial11/tutorial.html>`_
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`Building custom geometries with PINA Location class <tutorials/tutorial6/tutorial.html>`_
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Physics Informed Neural Networks
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--------------------------------
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.. toctree::
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:maxdepth: 3
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:titlesonly:
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`Two dimensional Poisson problem using Extra Features Learning <tutorials/tutorial2/tutorial.html>`_
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`Two dimensional Wave problem with hard constraint <tutorials/tutorial3/tutorial.html>`_
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`Resolution of a 2D Poisson inverse problem <tutorials/tutorial7/tutorial.html>`_
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`Periodic Boundary Conditions for Helmotz Equation <tutorials/tutorial9/tutorial.html>`_
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`Multiscale PDE learning with Fourier Feature Network <tutorials/tutorial13/tutorial.html>`_
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Neural Operator Learning
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------------------------
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.. toctree::
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:maxdepth: 3
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:titlesonly:
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`Two dimensional Darcy flow using the Fourier Neural Operator <tutorials/tutorial5/tutorial.html>`_
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`Time dependent Kuramoto Sivashinsky equation using the Averaging Neural Operator <tutorials/tutorial10/tutorial.html>`_
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Supervised Learning
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-------------------
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.. toctree::
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:maxdepth: 3
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:titlesonly:
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`Unstructured convolutional autoencoder via continuous convolution <tutorials/tutorial4/tutorial.html>`_
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`POD-RBF and POD-NN for reduced order modeling <tutorials/tutorial8/tutorial.html>`_
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