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 Introduction to PINA Equation class PINA and PyTorch Lightning, training tips and visualizations Building custom geometries with PINA Location class Physics Informed Neural Networks# Two dimensional Poisson problem using Extra Features Learning Two dimensional Wave problem with hard constraint Resolution of a 2D Poisson inverse problem Periodic Boundary Conditions for Helmotz Equation Multiscale PDE learning with Fourier Feature Network Neural Operator Learning# Two dimensional Darcy flow using the Fourier Neural Operator Time dependent Kuramoto Sivashinsky equation using the Averaging Neural Operator Supervised Learning# Unstructured convolutional autoencoder via continuous convolution POD-RBF and POD-NN for reduced order modeling
