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Micromixing Models for PDF Simulations of Turbulent Premixed Flames

, , , , , , and . Combustion Science and Technology, 0 (0): 1-26 (2018)Online.

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A Preview and Exploratory Technique for Large-Scale Scientific Simulations., , , , and . EGPGV@Eurographics, page 111-120. Eurographics Association, (2011)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)Enabling Adaptive Scientific Workflows Via Trigger Detection., , , , and . ISAV@SC, page 41-45. ACM, (2015)Micromixing Models for PDF Simulations of Turbulent Premixed Flames, , , , , , and . Combustion Science and Technology, 0 (0): 1-26 (2018)Online.Trigger detection for adaptive scientific workflows using percentile sampling., , , , , and . CoRR, (2015)Probabilistic transfer learning methodology to expedite high fidelity simulation of reactive flows., , , , and . CoRR, (2024)Visualizing Multivariate Volume Data from Turbulent Combustion Simulations., , , and . Comput. Sci. Eng., 9 (2): 76-83 (2007)VIS Keynote Address: Analytics Inspired Visualization: a Holistic In-situ Scientific Workflow at Extreme Scale.. VAST, page xiii. IEEE Computer Society, (2017)DIVA: A Declarative and Reactive Language for in situ Visualization., , , , , and . LDAV, page 1-11. IEEE, (2020)An a priori DNS study of the shadow-position mixing model, , , , and . Combustion and Flame, (January 2016)