Can Xu

Elastic versus viscoelastic physics-informed neural networks for transient flow modeling in high-density polyethylene pipes

This paper highlights a crucial aspect of physics-informed neural networks (PINNs): their success hinges on accurately capturing the dominant physical mechanisms. This principle is illustrated for fluid-borne transient waves within high-density polyethylene (HDPE) pipelines by comparing two PINN formulations across neg...