Derives a corrected boundary condition that enforces exact total surfactant mass conservation in nonlinear reduced models of soluble-surfactant-laden falling films, resolving an inconsistency in prior surface transport reductions.
year = 1970
2 Pith papers cite this work. Polarity classification is still indexing.
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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.
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A conservation-consistent boundary condition for nonlinear models of soluble-surfactant-laden falling films
Derives a corrected boundary condition that enforces exact total surfactant mass conservation in nonlinear reduced models of soluble-surfactant-laden falling films, resolving an inconsistency in prior surface transport reductions.
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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.