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PeleC: An adaptive mesh refinement solver for compressible reacting flows., , , , , , , , , and 1 other author(s). Int. J. High Perform. Comput. Appl., 37 (2): 115-131 (March 2023)A Preview and Exploratory Technique for Large-Scale Scientific Simulations., , , , and . EGPGV@Eurographics, page 111-120. Eurographics Association, (2011)Principal strain-rate transport in turbulent non-premixed DME flames: a comparative study using DNS and tomographic particle image velocimetry, , , and . 12th Turbulent Nonpremixed Flame Workshop, Pleasanton, CA, (2014)poster presentation.Dual space analysis of turbulent combustion particle data., , , , and . PacificVis, page 91-98. IEEE Computer Society, (2011)The Pele Simulation Suite for Reacting Flows at Exascale., , , , , , , , , and 13 other author(s). PP, page 13-25. SIAM, (2024)Enabling Adaptive Scientific Workflows Via Trigger Detection., , , , and . ISAV@SC, page 41-45. ACM, (2015)Trigger detection for adaptive scientific workflows using percentile sampling., , , , , and . CoRR, (2015)Micromixing Models for PDF Simulations of Turbulent Premixed Flames, , , , , , and . Combustion Science and Technology, 0 (0): 1-26 (2018)Online.Probabilistic transfer learning methodology to expedite high fidelity simulation of reactive flows., , , , and . CoRR, (2024)An a priori DNS study of the shadow-position mixing model, , , , and . Combustion and Flame, (January 2016)