Physics Informed Neural Networks (PINNs) have gained significant popularity for solving partial differential equations (PDEs) due to their powerful modeling capabilities. However, their application to ...

In this paper, a novel approach leveraging artificial neural networks is introduced to approximate solutions for partial differential equations. The one-dimensi ...