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Graph neural networks for full waveform inversion
In ultrasonic testing, full-waveform inversion (FWI) is employed to recover internal material perturbations by fitting simulated wavefields to sparsely measured wave signals at sensor locations using gradient-based optimization. Since the underlying optimization problem is inherently ill-posed, the
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