Radial Basis Function-based Positional Embedding Enhances Physics-Informed Neural Networks for Solving Differential Equations

Radial Basis Function (RBF)-based positional embedding can outperform widely used Fourier-based feature mapping in solving a variety of forward and inverse problems involving partial differential equations.