Magnetosonic polarization in synthetic turbulence produces field-line diffusion scaling as (δB/B)^4 with subdiffusion matching MHD simulations, unlike the (δB/B)^2 scaling for random polarization.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
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ELGIN is a graph-based physics-informed surrogate model that predicts carrier flow and polydisperse particle motion in dental aerosol scenarios, achieving lower tracking errors and 37x speedup versus full OpenFOAM CFD in a preliminary single-case test.
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Polarized 3D Synthetic Turbulence I: Magnetic Field Line Random Walk
Magnetosonic polarization in synthetic turbulence produces field-line diffusion scaling as (δB/B)^4 with subdiffusion matching MHD simulations, unlike the (δB/B)^2 scaling for random polarization.
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Physics-Informed Graph Neural Network Surrogates for Turbulent Nanoparticle Dispersion in Dental Clinical Environments
ELGIN is a graph-based physics-informed surrogate model that predicts carrier flow and polydisperse particle motion in dental aerosol scenarios, achieving lower tracking errors and 37x speedup versus full OpenFOAM CFD in a preliminary single-case test.