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researcher

S. Yellapantula

6 papers hereh-index 14618 citations71 works total

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

author position
  • sole author1
  • middle author2
  • last author3

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • physics.flu-dyn3
  • cs.LG1
  • physics.ao-ph1
  • physics.comp-ph1

identity via Semantic Scholar / OpenAlex

activity
20192025
most citedDeep learning for presumed probability density function models

68 citations · 90 across the 6 of their papers we have counts for

collaborators
Showing physics.flu-dynShow all

3 papers · 1 filter

physics.flu-dyn2025

Comparison of turbulence statistics in isothermal and non-isothermal large eddy simulations of supercritical carbon dioxide jets

Julia Ream, Marc T. Henry de Frahan, Shashank Yellapantula +3

Supercritical carbon dioxide is of interest in a wide range of engineering problems, including carbon capture, utilization, and storage as well as advanced cycles for power generat…

physics.flu-dyn2024★ 4 cited

A Priori Uncertainty Quantification of Reacting Turbulence Closure Models using Bayesian Neural Networks

Graham Pash, Malik Hassanaly, Shashank Yellapantula

While many physics-based closure model forms have been posited for the sub-filter scale (SFS) in large eddy simulation (LES), vast amounts of data available from direct numerical s…

physics.flu-dyn2023

Variational Auto-Encoder Based Deep Learning Technique For Filling Gaps in Reacting PIV Data

Shashank Yellapantula

In this study, a deep learning based conditional density estimation technique known as conditional variational auto-encoder (CVAE) is used to fill gaps typically observed in partic…

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