Scaled-cPIKAN for complex PDEs showing oscillatory behaviors
This paper introduces Scaled-cPIKAN, a physics-informed architecture rooted in Kolmogorov-Arnold Networks (KANs). Scaled-cPIKAN integrates Chebyshev polynomial representations with a domain scaling approach that transforms spatial variables in residual PDEs into the standardized domain [‑1, 1]d, as intrinsically required by Chebyshev polynomials.