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researcher

David Danan

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • physics.flu-dyn1
ORCID 0000-0003-1586-3979

identity via Semantic Scholar / OpenAlex

most citedNeurIPS 2024 ML4CFD Competition: Harnessing Machine Learning for Computational Fluid Dynamics in Airfoil Design

1 citations · 1 across the 3 of their papers we have counts for

collaborators
Showing physics.flu-dynShow all

1 paper · 1 filter

physics.flu-dyn2024★ 1 cited

NeurIPS 2024 ML4CFD Competition: Harnessing Machine Learning for Computational Fluid Dynamics in Airfoil Design

Mouadh Yagoubi, David Danan, Milad Leyli-abadi +8

The integration of machine learning (ML) techniques for addressing intricate physics problems is increasingly recognized as a promising avenue for expediting simulations. However,…

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