works on
algorithm discovery 1large language models 1partial differential equations 1physics-informed neural networks 1scientific computing 1

From the 1 of 1 linked paper with an AI index.

collaborators

1 paper

cs.AI2026

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

Peng Yin, Kai Li, Yifan Zhang +1

EvoPINN is an agentic framework that uses a large language model to automatically generate and verify executable algorithms for physics-informed neural networks, improving the accu…