EvoPINN: agentic discovery of executable algorithms for physics-informed neural networks
Read the original at arxiv.org→arXiv:2607.26490v1 Announce Type: new Abstract: Physics-informed neural networks (PINNs) have emerged as a powerful paradigm for solving partial differential equations (PDEs), yet their performance heavily relies on...
Original headline: "EvoPINN: Agentic Discovery of Executable Algorithms for Physics-Informed Neural Networks"
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- Jul 30, 04:00 UTC arXiv cs.AI lead source EvoPINN: Agentic Discovery of Executable Algorithms for Physics-Informed Neural Networks