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researcher

H. Gopalan

2 papers here

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

author position
  • middle author1
  • last author1

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

fields
  • cs.LG1
  • physics.flu-dyn1

identity via Semantic Scholar / OpenAlex

most citedInvestigation of flow structures in a turbulent separating flow using hybrid RANS-LES model

20 citations · 20 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2022

FastFlow: AI for Fast Urban Wind Velocity Prediction

Shi Jer Low, Venugopalan, S. G. Raghavan +4

Data-driven approaches, including deep learning, have shown great promise as surrogate models across many domains. These extend to various areas in sustainability. An interesting d…

physics.flu-dyn2021★ 20 cited

Investigation of flow structures in a turbulent separating flow using hybrid RANS-LES model

Gaurav Kumar, Ashoke De, Harish Gopalan

Hybrid Reynolds-averaged Navier Stokes large eddy simulation (RANS LES) methods have become popular for simulation of massively separated flows at high Reynolds numbers due to thei…

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