A 3D Volume of Fluid scheme is proposed in which a neural network directly predicts the numerical flux from cell volume fractions, removing explicit interface reconstruction and showing faster empirical convergence than upwind and limited downwind schemes on advection tests.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
math.NA 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
A 3D Machine Learning based Volume Of Fluid scheme without explicit interface reconstruction
A 3D Volume of Fluid scheme is proposed in which a neural network directly predicts the numerical flux from cell volume fractions, removing explicit interface reconstruction and showing faster empirical convergence than upwind and limited downwind schemes on advection tests.