ViscoelasticNet: A physics informed neural network framework for stress discovery and model selection

Understand

Viscoelastic fluids are a class of fluids that exhibit both viscous and elastic nature.

• Modelling such fluids requires constitutive equations for the stress, and choosing the most appropriate constitutive relationship can be difficult.
• We present viscoelasticNet, a physics-informed deep learning framework that uses the velocity flow field to select the constitutive model and learn the stress field.
• Our framework requires data only for the velocity field, initial \& boundary conditions for the stress tensor, and the boundary condition for the pressure field.