Physics Informed Neural Networks (PINN)

Physics-Informed Neural Networks (PINNs) are a type of neural network that integrates underlying physical principles into their structure to guide the learning process. By incorporating laws of physics, PINNs reduce the amount of training data needed and enhance the model’s interpretability and ability to extrapolate beyond the training data.