d4ced3a7d7
* add RBF implementation in pytorch (in layers) * add POD-RBF example (baseline for nonintrusive closure) * Add POD only and POD+RBF implementation * add POD-RBF in tutorial 8
47 lines
1.7 KiB
ReStructuredText
47 lines
1.7 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
|
|
-------------------------
|
|
.. toctree::
|
|
:maxdepth: 3
|
|
:titlesonly:
|
|
|
|
Introduction to PINA for Physics Informed Neural Networks training <tutorials/tutorial1/tutorial.rst>
|
|
Introduction to PINA Equation class <tutorials/tutorial12/tutorial.rst>
|
|
PINA and PyTorch Lightning, training tips and visualizations <tutorials/tutorial11/tutorial.rst>
|
|
Building custom geometries with PINA Location class <tutorials/tutorial6/tutorial.rst>
|
|
|
|
|
|
Physics Informed Neural Networks
|
|
--------------------------------
|
|
.. toctree::
|
|
:maxdepth: 3
|
|
:titlesonly:
|
|
|
|
Two dimensional Poisson problem using Extra Features Learning<tutorials/tutorial2/tutorial.rst>
|
|
Two dimensional Wave problem with hard constraint<tutorials/tutorial3/tutorial.rst>
|
|
Resolution of a 2D Poisson inverse problem<tutorials/tutorial7/tutorial.rst>
|
|
Periodic Boundary Conditions for Helmotz Equation<tutorials/tutorial9/tutorial.rst>
|
|
Multiscale PDE learning with Fourier Feature Network<tutorials/tutorial13/tutorial.rst>
|
|
|
|
Neural Operator Learning
|
|
------------------------
|
|
.. toctree::
|
|
:maxdepth: 3
|
|
:titlesonly:
|
|
|
|
Two dimensional Darcy flow using the Fourier Neural Operator<tutorials/tutorial5/tutorial.rst>
|
|
Time dependent Kuramoto Sivashinsky equation using the Averaging Neural Operator<tutorials/tutorial10/tutorial.rst>
|
|
|
|
Supervised Learning
|
|
-------------------
|
|
.. toctree::
|
|
:maxdepth: 3
|
|
:titlesonly:
|
|
|
|
Unstructured convolutional autoencoder via continuous convolution<tutorials/tutorial4/tutorial.rst>
|
|
POD-RBF and POD-NN for reduced order modeling<tutorials/tutorial8/tutorial.rst>
|