Heterogeneous activity patterns in bacterial suspension models produce intermittent hydrodynamic interfaces that separate localized turbulence from jammed surroundings and alter Lagrangian mixing.
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DustNET is proposed as a shared dataset to train machine learning models that complement traditional physics equations for predictive modeling of dusty plasmas across laboratory and natural scales.
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Turbulence-Induced Fluctuating Interfaces in Heterogeneously-Active Suspensions
Heterogeneous activity patterns in bacterial suspension models produce intermittent hydrodynamic interfaces that separate localized turbulence from jammed surroundings and alter Lagrangian mixing.
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DustNET: enabling machine learning and AI models of dusty plasmas
DustNET is proposed as a shared dataset to train machine learning models that complement traditional physics equations for predictive modeling of dusty plasmas across laboratory and natural scales.