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researcher

T. Echekki

9 papers hereh-index 293.5k citations129 works total

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

author position
  • middle author2
  • last author5

Across the 7 of 9 papers where every author was matched, so the position is known.

fields
  • physics.flu-dyn5
  • physics.chem-ph3
  • cs.CE1

identity via Semantic Scholar / OpenAlex

activity
20192026
most citedAn Efficient Machine-Learning Approach for PDF Tabulation in Turbulent Combustion Closure

31 citations · 41 across the 7 of their papers we have counts for

collaborators
Showing 2021Show all

1 paper · 1 filter

physics.flu-dyn2021★ 7 cited

Generalized Joint Probability Density Function Formulation inTurbulent Combustion using DeepONet

Rishikesh Ranade, Kevin Gitushi, Tarek Echekki

Joint probability density function (PDF)-based models in turbulent combustion provide direct closure for turbulence-chemistry interactions. The joint PDFs capture the turbulent fla…

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