Linear theory predicts regimes for deformable surfaces in turbulence where the interface is enslaved by flow or shows intrinsic dynamics; simulations of air-water and rubber match predictions without wave turbulence.
and Eaton, John K
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
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.
citing papers explorer
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Free surfaces in turbulence -- A unified framework from water surfaces to elastic solids
Linear theory predicts regimes for deformable surfaces in turbulence where the interface is enslaved by flow or shows intrinsic dynamics; simulations of air-water and rubber match predictions without wave turbulence.
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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.