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T. P. Miyanawala

3 papers hereh-index 8374 citations16 works total

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

author position
  • first author3

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

fields
  • physics.flu-dyn2
  • physics.comp-ph1

identity via Semantic Scholar / OpenAlex

most citedAn Efficient Deep Learning Technique for the Navier-Stokes Equations: Application to Unsteady Wake Flow Dynamics

93 citations · 152 across the 3 of their papers we have counts for

collaborators

3 papers

physics.comp-ph2018

A Hybrid Data-driven Deep Learning Technique for Fluid-Structure Interaction

T. P. Miyanawala, R. K. Jaiman

This paper is concerned with the development of a hybrid data-driven technique for unsteady fluid-structure interaction systems. The proposed data-driven technique combines the dee…

physics.flu-dyn2018★ 59 cited

Decomposition of wake dynamics in fluid-structure interaction via low-dimensional models

Tharindu P. Miyanawala, Rajeev K. Jaiman

We present a dynamic decomposition analysis of the wake flow in fluid-structure interaction (FSI) systems under both laminar and turbulent flow conditions. Of particular interest i…

physics.flu-dyn2017★ 93 cited

An Efficient Deep Learning Technique for the Navier-Stokes Equations: Application to Unsteady Wake Flow Dynamics

Tharindu P. Miyanawala, Rajeev K. Jaiman

We present an efficient deep learning technique for the model reduction of the Navier-Stokes equations for unsteady flow problems. The proposed technique relies on the Convolutiona…

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