IDRLnet: A Physics-Informed Neural Network Library

Understand

Physics Informed Neural Network (PINN) is a scientific computing framework used to solve both forward and inverse problems modeled by Partial Differential Equations (PDEs).

• This paper introduces IDRLnet, a Python toolbox for modeling and solving problems through PINN systematically.
• IDRLnet constructs the framework for a wide range of PINN algorithms and applications.
• It provides a structured way to incorporate geometric objects, data sources, artificial neural networks, loss metrics, and optimizers within Python.