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researcher

S. R. Bukka

2 papers hereh-index 3152 citations4 works total

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

author position
  • first author2

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

fields
  • physics.flu-dyn2

identity via Semantic Scholar / OpenAlex

most citedAssessment of unsteady flow predictions using hybrid deep learning based reduced order models

106 citations · 106 across the 2 of their papers we have counts for

collaborators

2 papers

physics.flu-dyn2020★ 106 cited

Assessment of unsteady flow predictions using hybrid deep learning based reduced order models

Sandeep Reddy Bukka, Rachit Gupta, Allan Ross Magee +1

In this paper, we present two deep learning-based hybrid data-driven reduced order models for the prediction of unsteady fluid flows. The first model projects the high-fidelity tim…

physics.flu-dyn2020

Deep Convolutional Recurrent Autoencoders for Flow Field Prediction

Sandeep Reddy Bukka, Allan Ross Magee, Rajeev Kumar Jaiman

In this paper, an end-to-end nonlinear model reduction methodology is presented based on the convolutional recurrent autoencoder networks. The methodology is developed in the conte…

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