Learning turbulent flows with generative models for super resolution and sparse flow reconstruction

Learning turbulent flows with generative models for super resolution and sparse flow reconstruction

Turbulent flow modeling remains a significant challenge due to the computational expense and difficulty in accurately capturing fine-scale structures. This work introduces an adversarially trained neural operator that effectively combines operator learning wi…

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