A VSS-based joint FWI framework enables direct multi-deployment inversion of geophone and DAS data, yielding more accurate elastic parameter recovery than single-sensor cases on Marmousi benchmarks when sensors provide complementary information.
An unsplit convolutional Perfectly Matched Layer improved at grazing incidence for the seismic wave equation.Geophysics, 72, September 2007
3 Pith papers cite this work. Polarity classification is still indexing.
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A new optimization-based calibration method allows accurate spatially varying power-law attenuation modeling in ultrasound wave simulations with mean errors below 3%.
Side-by-side timing comparison finds BEM solves the scattering problem in ~0.01 s while PINN training takes ~100 s, but trained PINN evaluates interior points ~100x faster than BEM.
citing papers explorer
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Joint elastic full waveform inversion of multi-component geophone and distributed acoustic sensing data
A VSS-based joint FWI framework enables direct multi-deployment inversion of geophone and DAS data, yielding more accurate elastic parameter recovery than single-sensor cases on Marmousi benchmarks when sensors provide complementary information.
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Spatially heterogeneous power-law attenuation with multiple relaxation mechanisms for ultrasound modeling
A new optimization-based calibration method allows accurate spatially varying power-law attenuation modeling in ultrasound wave simulations with mean errors below 3%.
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Benchmarking Physics-Informed Neural Networks and Boundary Elements Methods for Wave Scattering
Side-by-side timing comparison finds BEM solves the scattering problem in ~0.01 s while PINN training takes ~100 s, but trained PINN evaluates interior points ~100x faster than BEM.