Michael E. Mueller
Prof. Mueller’s research interests encompass computational modeling of multi-physics turbulent reacting flows with applications to energy and propulsion, including combustion as well as offshore wind, fusion, and other energy conversion processes. In addition, his research interests extend to broader areas of computational and data sciences including uncertainty quantification, numerical algorithms for emerging parallel computing architectures, and data-based modeling and algorithms. Since 2020, he is jointly appointed as a Faculty Researcher at the National Renewable Energy Laboratory. He has been recognized through the Young Investigator Program of the Army Research Office (2017) and with a Research Excellence Award from The Combustion Institute (2020) and has also received the Princeton University Graduate Mentoring Award (2015) and been named to the Princeton Engineering Commendation List for Outstanding Teaching seven times between 2013 and 2020.
K.S. Klemmer, M.E. Mueller, Hierarchical model form uncertainty quantification for turbulent combustion modeling, Combustion and Flame 221 (2020) 288-295
S. Yang, J.K. Lew, M.E. Mueller, Large Eddy Simulation of soot evolution in turbulent reacting flows: Strain-Sensitive Transport Approach for Polycyclic Aromatic Hydrocarbons, Combustion and Flame 220 (2020) 219-234
J. Lee, J.F. MacArt, M.E. Mueller, Heat release effects on the Reynolds stress budgets in turbulent premixed jet flames at low and high Karlovitz numbers, Combustion and Flame 216 (2020) 1-8
M.E. Mueller, Physically-derived reduced-order manifold-based modeling for multi-modal turbulent combustion, Combustion and Flame 214 (2020) 287-305
A.G. Novoselov, C.B. Reuter, O.R. Yehia, S.H. Won, M.K. Fu, K.A. Kokmanian, M. Hultmark, Y. Ju, M.E. Mueller, Turbulent nonpremixed cool flames: Experimental measurements, Direct Numerical Simulation, and manifold-based combustion modeling, Combustion and Flame 209 (2019) 144-154