Acoustic Field Reconstruction in Tubes via Physics-Informed Neural Networks

Xinmeng Luan, Kazuya Yokota, Gary Scavone

This study investigates the application of Physics-Informed Neural Networks (PINNs) to inverse problems in acoustic tube analysis, focusing on reconstructing acoustic fields from n…