To make full use of IDRLnet. We strongly suggest following the following examples:
1.:ref:`Simple Poisson <Solving Simple Poisson Equation>`. This example introduces the primary usage of IDRLnet. Including creating sampling domains, neural
networks, partial differential equations, training, monitoring, and inference.
2.:ref:`Euler-Bernoulli beam <Euler–Bernoulli beam>`. The example introduces how to use symbols to construct a PDE node efficiently.
3.:ref:`Burgers' Equation <Burgers' Equation>`. The case presents how to include ``time`` in the sampling domains.
4.:ref:`Allen-Cahn Equation <Allen-Cahn Equation>`. The example introduces the representation of periodic boundary conditions.
``Receiver`` acting as ``callbacks`` are also introduced, including implementing user-defined algorithms and post-processing during the training.
5.:ref:`Inverse wave equation <Inverse Wave Equation>`. The example introduces how to discover unknown parameters in PDEs.
6.:ref:`Parameterized poisson equation <Parameterized Poisson>`. The example introduces how to train a surrogate with parameters.
7.:ref:`Variational Minimization <Variational Minimization>`. The example introduces how to solve variational minimization problems.
8.:ref:`Volterra integral differential equation <Volterra Integral Differential Equation>`. The example introduces the way to solve IDEs.
