CFC2023

Student

Graph Neural Network for Two-Fluid Flows

  • El Haber, George (Mines Paris - CEMEF)
  • Viquerat, Jonathan (Mines Paris - CEMEF)
  • Larcher, Aurelien (Mines Paris - CEMEF)
  • Hachem, Elie (Mines Paris - CEMEF)

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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.