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)

Visualization of Jet Impingement and Ignition in a Piston-cylinder Chamber. - Nicholas Brunhart-Lupo; Shashank Yellapantula; Kenny Gruchalla; Ray W. Grout (e-Energy, 2021)

Uniform-in-Phase-Space Data Selection with Iterative Normalizing Flows. - Malik Hassanaly; Bruce A. Perry; Michael E. Mueller; Shashank Yellapantula (CoRR, 2021)

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

The Pele Simulation Suite for Reacting Flows at Exascale. - Marc T. Henry de Frahan; Lucas Esclapez; Jon S. Rood; Nicholas T. Wimer; Paul Mullowney; Bruce A. Perry; Landon Owen; Hariswaran Sitaraman; Shashank Yellapantula; Malik Hassanaly; Mohammad J. Rahimi; Michael James Martin; et al. (PP, 2024)

Accelerating Innovative Energy Solutions Using Combustion Simulations. - Shashank Yellapantula; Nicholas T. Wimer; Marc T. Henry de Frahan; Sreejith Nadakkal Appukuttan; Michael James Martin; Bruce A. Perry; Hariswaran Sitaraman; Mohammad J. Rahimi; Marc Day (Comput. Sci. Eng., 2025)

a priori uncertainty quantification of reacting turbulence closure models using Bayesian neural networks. - Graham Pash; Malik Hassanaly; Shashank Yellapantula (Eng. Appl. Artif. Intell., 2025)