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S. Sammak

1 paper here

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author position
  • middle author1

Across the 1 of 1 paper where every author was matched, so the position is known.

fields
  • physics.flu-dyn1

identity via Semantic Scholar / OpenAlex

most citedReconstructing High-resolution Turbulent Flows Using Physics-Guided Neural Networks

1 citations · 1 across the 1 of their papers we have counts for

collaborators

1 paper

physics.flu-dyn2021★ 1 cited

Reconstructing High-resolution Turbulent Flows Using Physics-Guided Neural Networks

Shengyu Chen, Shervin Sammak, Peyman Givi +2

Direct numerical simulation (DNS) of turbulent flows is computationally expensive and cannot be applied to flows with large Reynolds numbers. Large eddy simulation (LES) is an alte…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.