arXiv cs.NE
· Papers
Evolutionary Algorithm-Guided LLMs for Physics-Informed Neural Network Design
arXiv:2607.15560v1 Announce Type: new Abstract: Physics-informed neural networks (PINNs) are unusually sensitive to interacting choices of architecture, activation, loss weighting, collocation, optimization, and constraint enforcement. Large language models (LLMs) can propose these choices, but independent recommendati