Researchers developed Domain-aware Fourier Features (DaFFs) to enhance Physics-Informed Neural Networks (PINNs), improving performance and interpretability. DaFFs eliminate the need for explicit boundary condition loss terms and loss balancing schemes, simplifying PINN training and reducing computational cost.