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Jinyang Du

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Book Open access Aug 2026

MSR-PP: Modular Symbolic Regression with Physics Priors for PDE Discovery

Modular Symbolic Regression with Physics Priors (MSR-PP), a knowledge-guided framework that conceptualizes one-dimensional PDEs as structured compositions of semantic modules (e.g., convection, diffusion) rather than random symbol sequences, is proposed.

Jinyang Du, Chunguo Wu, Xiao-Hu Shi et al. · 0 citations
Book Open access Aug 2026

MSR-PP: Modular Symbolic Regression with Physics Priors for PDE Discovery

Discovering governing Partial Differential Equations (PDEs) from observational data is a fundamental challenge in AI for Science. While Symbolic Regression (SR) dominates this task, existing token-level methods trigger a combinatorial explosion of search spaces, frequently yielding mathematically valid yet physically i...

Jinyang Du, Chunguo Wu, Xiaohu Shi et al. · 0 citations

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