Roughness on ice surfaces produces localized droplet impingement that drives a feedback loop amplifying existing roughness features over time.
A Dynamic Subgrid-scale Model for Compressible Turbulence and Scalar Transport
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
fields
physics.flu-dyn 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
LESnets integrates LES equations and the law of the wall into F-FNO to enable data-free, stable long-term predictions of wall-bounded turbulence at Re_tau up to 1000 on coarse grids, matching traditional LES accuracy at higher efficiency.
citing papers explorer
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LES of Droplet Impingement: Application to Clean and Laser-Scanned Ice Shapes
Roughness on ice surfaces produces localized droplet impingement that drives a feedback loop amplifying existing roughness features over time.
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Large-eddy simulation nets (LESnets) based on physics-informed neural operator for wall-bounded turbulence
LESnets integrates LES equations and the law of the wall into F-FNO to enable data-free, stable long-term predictions of wall-bounded turbulence at Re_tau up to 1000 on coarse grids, matching traditional LES accuracy at higher efficiency.