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.