PINA Tutorials
======================


In this folder we collect useful tutorials in order to understand the principles and the potential of **PINA**.

Getting started with PINA
-------------------------

- `Introduction to PINA for Physics Informed Neural Networks training <tutorial1/tutorial.html>`_
- `Introduction to PINA Equation class <tutorial12/tutorial.html>`_
- `PINA and PyTorch Lightning, training tips and visualizations <tutorial11/tutorial.html>`_
- `Building custom geometries with PINA Location class <tutorial6/tutorial.html>`_


Physics Informed Neural Networks
--------------------------------

- `Two dimensional Poisson problem using Extra Features Learning <tutorial2/tutorial.html>`_
- `Two dimensional Wave problem with hard constraint <tutorial3/tutorial.html>`_
- `Resolution of a 2D Poisson inverse problem <tutorial7/tutorial.html>`_
- `Periodic Boundary Conditions for Helmotz Equation <tutorial9/tutorial.html>`_
- `Multiscale PDE learning with Fourier Feature Network <tutorial13/tutorial.html>`_

Neural Operator Learning
------------------------

- `Two dimensional Darcy flow using the Fourier Neural Operator <tutorial5/tutorial.html>`_
- `Time dependent Kuramoto Sivashinsky equation using the Averaging Neural Operator <tutorial10/tutorial.html>`_

Supervised Learning
-------------------

- `Unstructured convolutional autoencoder via continuous convolution <tutorial4/tutorial.html>`_
- `POD-RBF and POD-NN for reduced order modeling <tutorial8/tutorial.html>`_