0b7a307cf1
* inverse problem implementation * add tutorial7 for inverse Poisson problem * fix doc in equation, equation_interface, system_equation --------- Co-authored-by: Dario Coscia <dariocoscia@dhcp-015.eduroam.sissa.it>
29 lines
2.1 KiB
Markdown
Vendored
29 lines
2.1 KiB
Markdown
Vendored
# PINA Tutorials
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In this folder we collect useful tutorials in order to understand the principles and the potential of **PINA**. Please read the following table for details about the tutorials. The HTML version of all the tutorials is available also within the [documentation](http://mathlab.github.io/PINA/).
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## Getting started with PINA
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| Description | Tutorial |
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|---------------|-----------|
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Introduction to PINA for Physics Informed Neural Networks training|[[.ipynb](tutorial1/tutorial.ipynb), [.py](tutorial1/tutorial.py), [.html](http://mathlab.github.io/PINA/_rst/tutorial1/tutorial.html)]|
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Building custom geometries with PINA `Location` class|[[.ipynb](tutorial1/tutorial.ipynb), [.py](tutorial1/tutorial.py), [.html](http://mathlab.github.io/PINA/_rst/tutorial1/tutorial.html)]|
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## Physics Informed Neural Networks
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| Description | Tutorial |
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|---------------|-----------|
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Two dimensional Poisson problem using Extra Features Learning |[[.ipynb](tutorial2/tutorial.ipynb), [.py](tutorial2/tutorial.py), [.html](http://mathlab.github.io/PINA/_rst/tutorial2/tutorial.html)]|
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Two dimensional Wave problem with hard constraint |[[.ipynb](tutorial3/tutorial.ipynb), [.py](tutorial3/tutorial.py), [.html](http://mathlab.github.io/PINA/_rst/tutorial3/tutorial.html)]|
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Resolution of a 2D Poisson inverse problem |[[.ipynb](tutorial7/tutorial.ipynb), [.py](tutorial7/tutorial.py), [.html](http://mathlab.github.io/PINA/_rst/tutorial7/tutorial.html)]|
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## Neural Operator Learning
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| Description | Tutorial |
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|---------------|-----------|
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Two dimensional Darcy flow using the Fourier Neural Operator |[[.ipynb](tutorial5/tutorial.ipynb), [.py](tutorial5/tutorial.py), [.html](http://mathlab.github.io/PINA/_rst/tutorial5/tutorial.html)]|
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## Supervised Learning
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| Description | Tutorial |
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|---------------|-----------|
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Unstructured convolutional autoencoder via continuous convolution |[[.ipynb](tutorial4/tutorial.ipynb), [.py](tutorial4/tutorial.py), [.html](http://mathlab.github.io/PINA/_rst/tutorial4/tutorial.html)]|
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