A new simulation platform generates datasets of shear wave propagation in homogeneous and inhomogeneous visco-elastic domains to evaluate direct inversion techniques for MRE, revealing non-monotonic accuracy dependence on spatial and temporal resolution.
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UNVERDICTED 4representative citing papers
GPU port of entropy-stable DG Euler solver with non-conservative buoyancy terms reaches nearly 70% of 64-bit peak on A100 volume kernels, delivers 10x speedup and 13x better energy efficiency versus CPU, and preserves symmetry-based flux savings.
Inclination angles up to 15 degrees in 2D and 3D ground response models at Delaney Park produce only minor reductions in transfer function amplitudes near the fundamental frequency with limited improvement over vertical incidence, while larger angles shift frequencies upward in ways not seen in data
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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Simulation Platform To Evaluate Inversion Techniques For Magnetic Resonance Elastography Data
A new simulation platform generates datasets of shear wave propagation in homogeneous and inhomogeneous visco-elastic domains to evaluate direct inversion techniques for MRE, revealing non-monotonic accuracy dependence on spatial and temporal resolution.
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GPU Performance of an Entropy-Stable Discontinuous Galerkin Euler Solver with Non-Conservative Terms
GPU port of entropy-stable DG Euler solver with non-conservative buoyancy terms reaches nearly 70% of 64-bit peak on A100 volume kernels, delivers 10x speedup and 13x better energy efficiency versus CPU, and preserves symmetry-based flux savings.
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Effects of Varying Incident Wave Inclination and Azimuthal Angles on Multi-Dimensional Ground Response Analyses at the Delaney Park Downhole Array Site
Inclination angles up to 15 degrees in 2D and 3D ground response models at Delaney Park produce only minor reductions in transfer function amplitudes near the fundamental frequency with limited improvement over vertical incidence, while larger angles shift frequencies upward in ways not seen in data
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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.