Fractal dimension of the atomizing interface in 2D VOF-DNS is scale- and structure-dependent rather than a single global exponent.
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2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
UNVERDICTED 2representative citing papers
Physics-constrained ML with a fractal prior outperforms purely data-driven models for subgrid interfacial area density in corrugation regimes of multiphase flows but shows no gain in fragmentation regimes.
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Scale- and Structure-Dependent Fractal Dimensions in a Two-Dimensional Atomizing Liquid Jet
Fractal dimension of the atomizing interface in 2D VOF-DNS is scale- and structure-dependent rather than a single global exponent.
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Learning subgrid interfacial area in two-phase flows with regime-dependent inductive biases
Physics-constrained ML with a fractal prior outperforms purely data-driven models for subgrid interfacial area density in corrugation regimes of multiphase flows but shows no gain in fragmentation regimes.