An efficient hp-Variational PINNs framework for incompressible Navier-Stokes equations

Thivin Anandh, Divij Ghose, Ankit Tyagi +3

Physics-informed neural networks (PINNs) are able to solve partial differential equations (PDEs) by incorporating the residuals of the PDEs into their loss functions. Variational P…