Physics-informed Neural Network CFD

This repository contains a physics-informed neural network (PINN) model for computational fluid dynamics applications. PINNs integrate physical laws, typically expressed as partial differential equations, directly into the loss function of neural networks, enabling physics-compliant predictions without relying solely on data. The model is hosted on HuggingFace's model hub.