Gradient-enhanced PINN with residual unit for studying forward-inverse problems of variable coefficient equations

Hui-Juan Zhou, Yong Chen

Physics-informed neural network (PINN) is a powerful emerging method for studying forward-inverse problems of partial differential equations (PDEs), even from limited sample data.…