Michael Edward Mueller

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1 Similar Profiles

2 Finished
4 Active

Conference: 2022 Princeton Summer School on Combustion and the Environment
Mueller, M. E.
NSF - National Science Foundation
3/1/22 → 2/28/23
Project: Research project
Distributed Turbulent Premixed Combustion: Regimes, Mechanisms and Modeling
Mueller, M. E.
Air Force Office of Scientific Research
1/7/21 → 1/6/25
Project: Research project
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 → 8/31/22
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

1705 Citations
22 h-index
50 Article
22 Paper
16 Conference contribution
3 Conference article
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- 1 Chapter

A coupled MMC-LES and sectional kinetic scheme for soot formation in a turbulent flame
Huo, Z., Cleary, M. J., Masri, A. R. & Mueller, M. E., Jul 2022, In: Combustion and Flame. 241, 112089.
Research output: Contribution to journal › Article › peer-review
Closure modeling for the conditional Reynolds stresses in turbulent premixed combustion
Lee, J. & Mueller, M. E., Jan 2021, In: Proceedings of the Combustion Institute. 38, 2, p. 3031-3038 8 p.
Research output: Contribution to journal › Article › peer-review
4 Scopus citations
Damköhler number scaling of active cascade effects in turbulent premixed combustion
Macart, J. F. & Mueller, M. E., Mar 1 2021, In: Physics of Fluids. 33, 3, 035103.
Research output: Contribution to journal › Article › peer-review
1 Scopus citations
Implied models approach for turbulence model form physics-based uncertainty quantification
Klemmer, K. S. & Mueller, M. E., Apr 2021, In: Physical Review Fluids. 6, 4, 044606.
Research output: Contribution to journal › Article › peer-review
1 Scopus citations
In-Situ Adaptive Manifolds: Enabling computationally efficient simulations of complex turbulent reacting flows
Lacey, C. E., Novoselov, A. G. & Mueller, M. E., Jan 2021, In: Proceedings of the Combustion Institute. 38, 2, p. 2673-2680 8 p.
Research output: Contribution to journal › Article › peer-review

Open Access
4 Scopus citations

Michael Edward Mueller

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Conference: 2022 Princeton Summer School on Combustion and the Environment

Distributed Turbulent Premixed Combustion: Regimes, Mechanisms and Modeling

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

A Unified Manifold-Based Approach to Modeling Turbulent Combustion

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

A coupled MMC-LES and sectional kinetic scheme for soot formation in a turbulent flame

Closure modeling for the conditional Reynolds stresses in turbulent premixed combustion

Damköhler number scaling of active cascade effects in turbulent premixed combustion

Implied models approach for turbulence model form physics-based uncertainty quantification

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

Michael Edward Mueller

Fingerprint

Network

Projects

Research output