Salah A. Faroughi

According to our database, Salah A. Faroughi authored at least 16 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Symbolic-KAN: Kolmogorov-Arnold Networks with Discrete Symbolic Structure for Interpretable Learning.

Salah A. Faroughi, Farinaz Mostajeran, Amirhossein Arzani, Shirko Faroughi

CoRR, March, 2026

Kolmogorov-Arnold networks for data-driven, physics-informed, and deep-operator learning: a review, synthesis, and new analysis.

Salah A. Faroughi, Farinaz Mostajeran, Amin Hamed Mashhadzadeh, Shirko Faroughi

Neural Networks, 2026

Neural tangent kernel analysis to probe convergence in physics-informed neural solvers: PIKANs vs. PINNs.

Salah A. Faroughi, Farinaz Mostajeran

Comput. Math. Appl., 2026

2025

MINPO: Memory-Informed Neural Pseudo-Operator to Resolve Nonlocal Spatiotemporal Dynamics.

Farinaz Mostajeran, Aruzhan Tleubek, Salah A. Faroughi

CoRR, December, 2025

Scientific Machine Learning with Kolmogorov-Arnold Networks.

Salah A. Faroughi, Farinaz Mostajeran, Amin Hamed Mashhadzadeh, Shirko Faroughi

CoRR, July, 2025

Multi Image Super Resolution Modeling for Earth System Models.

Ehsan Zeraatkar, Salah A. Faroughi, Jelena Tesic

CoRR, February, 2025

ViSIR: Vision Transformer Single Image Reconstruction Method for Earth System Models.

Ehsan Zeraatkar, Salah A. Faroughi, Jelena Tesic

CoRR, February, 2025

Scaled-cPIKANs: Domain Scaling in Chebyshev-based Physics-informed Kolmogorov-Arnold Networks.

Farinaz Mostajeran, Salah A. Faroughi

CoRR, January, 2025

Scaled-cPIKANs: Spatial variable and residual scaling in chebyshev-based physics-informed kolmogorov-Arnold networks.

Farinaz Mostajeran, Salah A. Faroughi

J. Comput. Phys., 2025

2024

ESM data downscaling: a comparison of super-resolution deep learning models.

Nikhil M. Pawar, Ramin Soltanmohammadi, Seyed Kourosh Mahjour, Salah A. Faroughi

Earth Sci. Informatics, August, 2024

Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks and Operators in Scientific Computing: Fluid and Solid Mechanics.

Salah A. Faroughi, Nikhil M. Pawar, Célio Fernandes, Maziar Raissi, Subasish Das, Nima K. Kalantari, Seyed Kourosh Mahjour

J. Comput. Inf. Sci. Eng., April, 2024

Geo-guided deep learning for spatial downscaling of solute transport in heterogeneous porous media.

Nikhil M. Pawar, Ramin Soltanmohammadi, Shirko Faroughi, Salah A. Faroughi

Comput. Geosci., 2024

EPi-cKANs: Elasto-Plasticity Informed Kolmogorov-Arnold Networks Using Chebyshev Polynomials.

Farinaz Mostajeran, Salah A. Faroughi

CoRR, 2024

2022

Finite volume simulations of particle-laden viscoelastic fluid flows: application to hydraulic fracture processes.

Célio Fernandes, Salah A. Faroughi, Ricardo Ribeiro, Ana Isabel, Gareth H. McKinley

Eng. Comput., 2022

Physics-informed Neural Networks with Periodic Activation Functions for Solute Transport in Heterogeneous Porous Media.

Salah A. Faroughi, Pingki Datta, Seyed Kourosh Mahjour, Shirko Faroughi

CoRR, 2022

Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks in Scientific Computing.

Salah A. Faroughi, Nikhil M. Pawar, Célio Fernandes, Subasish Das, Nima K. Kalantari, Seyed Kourosh Mahjour

CoRR, 2022