The Physics-Informed Neural Network (PINN) framework introduced recently incorporates physics into deep learning, and offers a promising avenue for the solution of partial differential equations (PDEs) as well identification equation parameters. performance existing PINN approaches, however, may degrade in presence sharp gradients, result inability network to capture behavior globally. We posit...