AKAPINN: Adaptive Kolmogorov-Arnold Physics-Informed Neural Networks for Approximating Solutions to Quasilinear Partial Differential Equations
Structural
A mesh-free KAN-PINN method for solving nonlinear strain-limiting partial differential equations, featuring exact hard boundary ansatz and pseudo-Huber residual loss for enhanced training stability.
See LICENSE file Physics-Informed Neural NetworksQuasi-linear PDEStrain-limiting