Investigation of the generalization capability of a generative adversarial network for large eddy simulation of turbulent premixed reacting flows - Concepedia

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Investigation of the generalization capability of a generative adversarial network for large eddy simulation of turbulent premixed reacting flows

DOI Full Paper Access

33

Citations

19

References

2022

Year

Ludovico Nista, Christoph Schumann, Temistocle Grenga, Antonio Attili, Heinz Pitsch

Proceedings of the Combustion Institute

EngineeringMachine LearningGenerative Adversarial NetworkAerospace EngineeringTurbulence ModelingTurbulenceGenerative ModelTurbulent FlameGeneralization CapabilityLarge Eddy Simulation

References

	Year	Citations

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