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F. Faraji

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Preprint Aug 2026

RECAST: A Machine-Learning Framework for Correction and Super-Resolution of Coarse-Grid PDE Solvers

Coarse-grid numerical solvers can substantially reduce the computational cost of time-dependent PDE simulation, but under-resolution often degrades both the trajectory and the spatial fidelity of the solution. We introduce RECAST (Recurrent Error Correction And Super-resolution of coarse-grid Trajectories), a machine-l...

M. Reza, F. Faraji · 0 citations
Preprint Aug 2026

Verifier-Guided Model Discovery for Physical Dynamical Systems with Pretrained Symbolic Transformers

A verifier-guided neural-to-symbolic methodology for interpretable and physically auditable forecasting in the natural sciences is established, establishing a verifier-guided neural-to-symbolic methodology for interpretable and physically auditable forecasting in the natural sciences.

F. Faraji, Francesco Belardinelli · 0 citations

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