Heat Transfer Modelling with Physics-Informed Neural Network (PINN)

The numerical simulationsSimulations of partial differential equations aid us in studying the nanofluid flow in the porous mediaPorous media, the analysis of the dispersion of pollutants, and many other physical phenomena. However, to simulate such phenomena requires tremendous computational power, and it increases with the number of parameters. In this chapter, we will explore the application of the Physics-Informed Neural Network (PINN)Physics-Informed Neural Network (PINN) in solving heat equation with distinct types of materials. To leverage the GPU performance and cloud computing, we perform the simulationsSimulations on the Google Cloud PlatformGoogle Cloud Platform.