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Xu Yang

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Preprint Jul 2026

Evolutionary Algorithm-Guided LLMs for Physics-Informed Neural Network Design

A closed-loop evolutionary algorithm that guides an LLM to generate complete, executable PINN configurations across generations, using measured training outcomes to determine subsequent search decisions to demonstrate the feasibility of evolutionary-algorithm-guided LLMs for PINN design on a controlled PDE while motivating broader, physics-aware evaluation.

Xu Yang, Mingyang Yu, Jing Xu et al. · 0 citations