A high-order scheme for time-space fractional diffusion equations with Caputo-Riesz derivatives. - Golsa Sayyar; Seyed Mohammad Hosseini 002; Farinaz Mostajeran (Comput. Math. Appl., 2021)

DeepBHCP: Deep neural network algorithm for solving backward heat conduction problems. - Farinaz Mostajeran; Reza Mokhtari (Comput. Phys. Commun., 2022)

Radial basis function neural network (RBFNN) approximation of Cauchy inverse problems of the Laplace equation. - Farinaz Mostajeran; Seyed Mohammad Hosseini 002 (Comput. Math. Appl., 2023)

EPi-cKANs: Elasto-Plasticity Informed Kolmogorov-Arnold Networks Using Chebyshev Polynomials. - Farinaz Mostajeran; Salah A. Faroughi (CoRR, 2024)

Scaled-cPIKANs: Spatial variable and residual scaling in chebyshev-based physics-informed kolmogorov-Arnold networks. - Farinaz Mostajeran; Salah A. Faroughi (J. Comput. Phys., 2025)

Scaled-cPIKANs: Domain Scaling in Chebyshev-based Physics-informed Kolmogorov-Arnold Networks. - Farinaz Mostajeran; Salah A. Faroughi (CoRR, 2025)

Neural Tangent Kernel Analysis to Probe Convergence in Physics-informed Neural Solvers: PIKANs vs. PINNs. - Salah A. Faroughi; Farinaz Mostajeran (CoRR, 2025)

Scientific Machine Learning with Kolmogorov-Arnold Networks. - Salah A. Faroughi; Farinaz Mostajeran; Amin Hamed Mashhadzadeh; Shirko Faroughi (CoRR, 2025)