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Michael Edward Mueller

Former affiliations
  • 1202 Citations
  • 20 h-Index
20082020

Research output per year

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Projects

Computational Modeling of the Soot Size Distribution in Turbulent Reacting Flows: Leveraging Data Science Tools to Rapidly Accelerate Physicis-Based Model Development and Validation

Mueller, M. E.

NSF - National Science Foundation

9/1/20 → 8/31/23

Project: Research project

    • A Unified Manifold-Based Approach to Modeling Turbulent Combustion

    Mueller, M. E.

    NSF - National Science Foundation

    9/1/18 → 8/31/21

    Project: Research project

    • Young Investigators Program(YIP): Multi-Modal Turbulent Combustion under Autoignitive Conditions: Separability of Combustion Modes and Implications for Modeling

    Mueller, M. E.

    Army Research Office - NC

    8/7/17 → 8/6/20

    Project: Research project

    • Student Travel Grant - 2016 Spring Technical Meeting of the Eastern States Section of the Combustion Institute

    Mueller, M. E.

    NSF - National Science Foundation

    3/1/16 → 8/31/16

    Project: Research project

    • Research Output

    Closure modeling for the conditional Reynolds stresses in turbulent premixed combustion

    Lee, J. & Mueller, M. E., 2020, (Accepted/In press) In : Proceedings of the Combustion Institute.

    Research output: Contribution to journal › Article

    • Dynamic mode decomposition: A tool to extract structures hidden in massive datasets

    Grenga, T. & Mueller, M. E., Jan 1 2020, Data Analysis for Direct Numerical Simulations of Turbulent Combustion: From Equation-Based Analysis to Machine Learning. Springer International Publishing, p. 157-176 20 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter

    • Heat release effects on the Reynolds stress budgets in turbulent premixed jet flames at low and high Karlovitz numbers

    Lee, J., MacArt, J. F. & Mueller, M. E., Jun 2020, In : Combustion and Flame. 216, p. 1-8 8 p.

    Research output: Contribution to journal › Article

    • Hierarchical model form uncertainty quantification for turbulent combustion modeling

    Klemmer, K. S. & Mueller, M. E., Nov 2020, In : Combustion and Flame. 221, p. 288-295 8 p.

    Research output: Contribution to journal › Article

    • In-Situ Adaptive Manifolds: Enabling computationally efficient simulations of complex turbulent reacting flows

    Lacey, C. E., Novoselov, A. G. & Mueller, M. E., 2020, (Accepted/In press) In : Proceedings of the Combustion Institute.

    Research output: Contribution to journal › Article