A new optimization-based calibration method allows accurate spatially varying power-law attenuation modeling in ultrasound wave simulations with mean errors below 3%.
An unsplit convolutional Perfectly Matched Layer improved at grazing incidence for the seismic wave equation.Geophysics, 72, September 2007
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
representative citing papers
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
-
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%.
-
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.