Jul 2026
Multi-scale physics-informed neural networks with Fourier features for approximating time-fractional PDEs
Extensive numerical experiments demonstrate that PINNs-MSFF achieves superior accuracy, stability, and convergence, effectively capturing complex fractional dynamics, sharp localized gradients, and dispersive phase transitions where standard PINNs often fail.
Harender Kumar
· International Journal of Dyn... · 0 citations