PINNForge: Execution-Grounded Evolutionary Design of Physics-Informed Neural Networks.

arXiv:2609.23023v2 Announce Type: replace Abstract: Physics-informed neural networks (PINNs) require coordinated choices across representation, architecture, sampling, constraints, loss construction, and optimization, yet effective configurations can vary subs