An application of space-filling curves to improve results of turbulent aerodynamics modeling with convolutional neural networks

When carrying out calculations for turbulent flow simulation,one inevitably has to face the choice between accuracy and speed of calculations.In order to simultaneously obtain both a computationally efficient and more accurate model,a surrogate model can be built on the basis of some fast special mo...

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Veröffentlicht in:Chinese journal of aeronautics 2024-02, Vol.37 (2), p.81-92
Hauptverfasser: PETROV, Mikhail, ZIMINA, Sofia
Format: Artikel
Sprache:eng
Online-Zugang:Volltext
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