Thermodynamically consistent physics-informed neural network-finite element method for viscoelastic fluids using square-root conformation
Viscoelastic fluids are commonly found in nature and industry, yet their accurate numerical simulation remains challenging due to complex constitutive relations and numerical instabilities. Here, we propose a hybrid PINN-FEM framework that combines Physics-Informed Neural Networks (PINN) with the finite element method...