A physics-informed boundary integral network learns boundary pressure from microphone measurements and reconstructs the interior sound field, outperforming PINN and PIDL baselines in simulated rooms.
Kernel ridge regression with constraint of Helmholtz equation for sound field interpolation,
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Sound Field Reconstruction Using Physics-Informed Boundary Integral Networks
A physics-informed boundary integral network learns boundary pressure from microphone measurements and reconstructs the interior sound field, outperforming PINN and PIDL baselines in simulated rooms.