EvoPINN: Agentic Discovery of Executable Algorithms for Physics-Informed Neural Networks

Peng Yin, Kai Li, Yifan Zhang +1

Physics-informed neural networks (PINNs) have emerged as a powerful paradigm for solving partial differential equations (PDEs), yet their performance heavily relies on the manual,…