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Graph Neural Network for Two-Fluid Flows
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The current abstract discusses a resolution framework for multiphase fluid flows involving a deep learning model based on graph neural networks and a traditional finite element solver. The specs of the framework, along with various conclusions required for the successful implementation of the method, are discussed.
