Salah A. Faroughi

Orcid: 0000-0002-6543-1691

According to our database1, Salah A. Faroughi authored at least 13 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2025
Scientific Machine Learning with Kolmogorov-Arnold Networks.
CoRR, July, 2025

Neural Tangent Kernel Analysis to Probe Convergence in Physics-informed Neural Solvers: PIKANs vs. PINNs.
CoRR, June, 2025

Multi Image Super Resolution Modeling for Earth System Models.
CoRR, February, 2025

ViSIR: Vision Transformer Single Image Reconstruction Method for Earth System Models.
CoRR, February, 2025

Scaled-cPIKANs: Domain Scaling in Chebyshev-based Physics-informed Kolmogorov-Arnold Networks.
CoRR, January, 2025

Scaled-cPIKANs: Spatial variable and residual scaling in chebyshev-based physics-informed kolmogorov-Arnold networks.
J. Comput. Phys., 2025

2024
ESM data downscaling: a comparison of super-resolution deep learning models.
Earth Sci. Informatics, August, 2024

Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks and Operators in Scientific Computing: Fluid and Solid Mechanics.
J. Comput. Inf. Sci. Eng., April, 2024

Geo-guided deep learning for spatial downscaling of solute transport in heterogeneous porous media.
Comput. Geosci., 2024

EPi-cKANs: Elasto-Plasticity Informed Kolmogorov-Arnold Networks Using Chebyshev Polynomials.
CoRR, 2024

2022
Finite volume simulations of particle-laden viscoelastic fluid flows: application to hydraulic fracture processes.
Eng. Comput., 2022

Physics-informed Neural Networks with Periodic Activation Functions for Solute Transport in Heterogeneous Porous Media.
CoRR, 2022

Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks in Scientific Computing.
CoRR, 2022


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