Meta-LRPINN combines SVD low-rank weights, a frequency-embedding hypernetwork, and meta-learned initialization to model multi-frequency seismic wavefields faster and more accurately than baseline PINNs on tested models.
Accuracy of finite-difference and finite-element modeling of the scalar and elastic wave equations
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Multi-frequency wavefield solutions for variable velocity models using meta-learning enhanced low-rank physics-informed neural network
Meta-LRPINN combines SVD low-rank weights, a frequency-embedding hypernetwork, and meta-learned initialization to model multi-frequency seismic wavefields faster and more accurately than baseline PINNs on tested models.