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Inferring the Turbulent Breakup of Colloidal Aggregates Using Graph Neural Networks
Solid aggregates in turbulent suspensions may break under the action of shear stresses. We explore the use of Graph Neural Networks (GNN) to infer aggregate fragmentation once the aggregate structure and flow velocity gradients are known. We consider two models: the first GNN is a classifier, traine
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