36 lines
1.5 KiB
ReStructuredText
36 lines
1.5 KiB
ReStructuredText
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>`_
|