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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 2026Show all

2 papers · 1 filter

physics.flu-dyn2026

NeRF-Inspired Neural Fields for 3D Super-resolution of Reacting-Flows

Dakshaka Vishwajith Amarathunga, Shang-Ru Li, Tarek Echekki

The multiscale nature of turbulent reacting flows and the importance of fine-scale structures pose challenges for super-resolution. We investigate a 3D super-resolution framework i…

physics.flu-dyn2026

A Neural Implicit Flow Super-Resolution Approach for Reacting Flows

Dakshaka Vishwajith Amarathunga, Lanre M. Oshinowo, Ji-Woong Park +1

We present a novel framework for reconstructing fine-resolution scalar fields from coarse-resolution data in 2D unsteady flames using an extension of neural implicit flow (NIF). Th…

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