Michael Edward Mueller

Mechanical & Aerospace Engineering

Former affiliations

Source: Scopus
Calculated based on no. of publications stored in Pure and citations from Scopus

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2 Finished
2 Active

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

1270 Citations
20 h-Index
46 Article
22 Paper
16 Conference contribution
3 Conference article
More
- 1 Chapter

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 › peer-review
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 › peer-review
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 › peer-review
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 › peer-review