43 lines
1.4 KiB
ReStructuredText
43 lines
1.4 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.rst>
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Building custom geometries with PINA Location class <tutorials/tutorial6/tutorial.rst>
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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.rst>
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Two dimensional Wave problem with hard constraint<tutorials/tutorial3/tutorial.rst>
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Resolution of a 2D Poisson inverse problem<tutorials/tutorial7/tutorial.rst>
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Periodic Boundary Conditions for Helmotz Equation<tutorials/tutorial9/tutorial.rst>
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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.rst>
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Time dependent Kuramoto Sivashinsky equation using the Averaging Neural Operator<tutorials/tutorial10/tutorial.rst>
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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.rst>
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POD-NN for reduced order modeling<tutorials/tutorial8/tutorial.rst>
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