Alikhanov-XfPINNs integrates accelerated Alikhanov discretization on nonuniform time grids with physics-informed neural networks to solve general nonlinear fractional PDEs for both forward and inverse problems with improved efficiency and handling of initial singularities.
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Alikhanov-XfPINNs: Adaptive Physics-Informed Learning for Nonlinear Fractional PDEs on Nonuniform Meshes
Alikhanov-XfPINNs integrates accelerated Alikhanov discretization on nonuniform time grids with physics-informed neural networks to solve general nonlinear fractional PDEs for both forward and inverse problems with improved efficiency and handling of initial singularities.