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PINA/tutorials
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PINA Tutorials

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.

Getting started with PINA

Description Tutorial
Introduction to PINA for Physics Informed Neural Networks training [.ipynb.py.html]
Building custom geometries with PINA Location class [.ipynb.py.html]

Physics Informed Neural Networks

Description Tutorial
Two dimensional Poisson problem using Extra Features Learning     [.ipynb.py.html]
Two dimensional Wave problem with hard constraint [.ipynb.py.html]

Neural Operator Learning

Description Tutorial
Two dimensional Darcy flow using the Fourier Neural Operator          [.ipynb.py.html]

Supervised Learning

Description Tutorial
Unstructured convolutional autoencoder via continuous convolution [.ipynb.py.html]