Characteristic Based Physics Informed Neural Networks for Advection Equations with a Focus on Discontinuous Solutions

This paper presents a characteristic-based loss function for physics-informed neural networks (PINNs) that circumvents automatic differentiation and significantly reduces training cost for advection equations. However, standard PINNs often fail to accurately resolve discontinuous solutions, as their