Shashank Yellapantula

Orcid: 0000-0002-6869-1747

According to our database1, Shashank Yellapantula authored at least 8 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2025
a priori uncertainty quantification of reacting turbulence closure models using Bayesian neural networks.
Eng. Appl. Artif. Intell., 2025

Accelerating Innovative Energy Solutions Using Combustion Simulations.
Comput. Sci. Eng., 2025

2024

2023
PeleC: An adaptive mesh refinement solver for compressible reacting flows.
Int. J. High Perform. Comput. Appl., March, 2023

Variational Auto-Encoder Based Deep Learning Technique For Filling Gaps in Reacting PIV Data.
CoRR, 2023

2021
Uniform-in-Phase-Space Data Selection with Iterative Normalizing Flows.
CoRR, 2021

Visualization of Jet Impingement and Ignition in a Piston-cylinder Chamber.
Proceedings of the e-Energy '21: The Twelfth ACM International Conference on Future Energy Systems, Virtual Event, Torino, Italy, 28 June, 2021

2019
A Comparison of Classical and Aggregation-Based Algebraic Multigrid Preconditioners for High-Fidelity Simulation of Wind Turbine Incompressible Flows.
SIAM J. Sci. Comput., 2019


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