Shashank Yellapantula

According to our database, Shashank Yellapantula authored at least 6 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Graham Pash, Malik Hassanaly, Shashank Yellapantula

CoRR, 2024

2023

PeleC: An adaptive mesh refinement solver for compressible reacting flows.

Marc T. Henry de Frahan, Jon S. Rood, Marcus S. Day, Hariswaran Sitaraman, Shashank Yellapantula, Bruce A. Perry, Ray W. Grout, Ann S. Almgren, Weiqun Zhang, John B. Bell, Jacqueline H. Chen

Int. J. High Perform. Comput. Appl., March, 2023

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

Shashank Yellapantula

CoRR, 2023

2021

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

Malik Hassanaly, Bruce A. Perry, Michael E. Mueller, Shashank Yellapantula

CoRR, 2021

Visualization of Jet Impingement and Ignition in a Piston-cylinder Chamber.

Nicholas Brunhart-Lupo, Shashank Yellapantula, Kenny Gruchalla, Ray W. Grout

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.

Stephen J. Thomas, Shreyas Ananthan, Shashank Yellapantula, Jonathan J. Hu, Michael Lawson, Mary Ann Sprague

SIAM J. Sci. Comput., 2019