Author

Jun Guo

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#machine learning Preprint Sep 2026

DeSyR: A Decoupled Symbolic Recovery Framework with PINN-Guided Structure Search and Physics-Informed Coefficient Refinement

Results show that an approximate neural teacher can guide topology discovery without imposing its error scale on final recovered coefficients, provided a target-capable topology is retained and physics-only refinement converges.

Pan-Cheng Niu, Jun Guo, Qiao-Lin He et al. · 0 citations