Zhan-Dong Ye

Numerical simulation of viscoelastic flows using physics-informed neural networks: R-PINN and adaptive IR-PINN

This paper aims to investigate viscoelastic flow problems governed by the coupled Navier–Stokes equations and Oldroyd-B constitutive model. To address the difficulties of residual physics-informed neural networks (R-PINNs) in such problems, including unstable training, large stress prediction errors and nonphysical...