AIBullisharXiv – CS AI · Mar 47/102
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Physics-Informed Neural Networks with Architectural Physics Embedding for Large-Scale Wave Field Reconstruction
Researchers developed Physics-Embedded PINNs (PE-PINN) that achieve 10x faster convergence than standard physics-informed neural networks and orders of magnitude memory reduction compared to traditional methods for large-scale wave field reconstruction. The breakthrough enables high-fidelity electromagnetic wave modeling for wireless communications, sensing, and room acoustics applications.