PINN for Laminar Flow Solving
Predicting Laminar Flow Velocity Profile Using Physics-Informed Neural Networks (PINNs) Introduction A Physics-Informed Neural Network (PINN) is a powerful tool for predicting laminar flow velocity profiles within channels, essential for designing efficient thermal and fluid systems. While traditional CFD methods require complex meshing and high computational resources, PINNs integrate physical laws directly into neural networks,…