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Kyle E. Niemeyer is an Associate Professor at the  in the . He leads the Niemeyer Research Group, which uses computational modeling to study various phenomena involving fluid flows, including combustion and chemical kinetics, and related topics like numerical methods and parallel computing. He is also interested in open access, open source, and open science in general, and has contributed in the area of standardizing research software citation. Kyle received his Ph.D. in Mechanical Engineering from  in 2013, working with Jackie Sung and the  (now at the University of Connecticut). He received BS and MS degrees in Aerospace Engineering from  in 2009 and 2010, respectively.

Research Interests

Dr. Niemeyer’s research focuses on the development of advanced numerical methods for modeling of combustion and reactive flows. His recent efforts included developing chemical-reaction mechanism reduction tools and algorithms for graphics processing units (GPUs) in order to enable the use of detailed, accurate chemical models in combustion simulations. Other research interests include computational modeling of multi-physics flows for applications in aerospace, transportation, and energy systems.

Selected Publications

• W. Jayani Jayasuriya, Tejas C. Mulky, and Kyle E. Niemeyer. 2022. “Smoldering combustion in cellulose and hemicellulose mixtures: Examining the roles of density, fuel composition, oxygen concentration, and moisture content.” Combustion Theory and Modelling, 26(5):831–855. , arXiv:2206.03836 [physics.bio-ph]
• Ana E. Comesana, Tyler Huntington, Corinne D. Scown, Kyle E. Niemeyer, and Vi H. Rapp. 2022. “A systematic method for selecting molecular descriptors as features when training models for predicting physiochemical properties.” Fuel, 321:123836.
• Aaron J. Fillo, Peter E. Hamlington, and Kyle E. Niemeyer. 2022. “Assessing diffusion model impacts on enstrophy and flame structure in turbulent lean premixed flames.” Combustion Theory and Modelling, 26(4):712–727. , arXiv:2108.08302 [physics.flu-dyn]
• Katherine M. Smith, Skyler Kern, Peter E. Hamlington, Marco Zavatarelli, Nadia Pinardi, Emily F. Klee, and Kyle E. Niemeyer. 2021. “BFM17 v1.0: Reduced- Order Biogeochemical Flux Model for Upper Ocean Biophysical Simulations.” Geoscientific Model Development, 14, 2419–2442,
• Aaron J. Fillo, Jason Schlup, Guillaume Blanquart, and Kyle E. Niemeyer. 2021. “Assessing the impact of multicomponent diffusion in direct numerical simulations of premixed, high-Karlovitz, turbulent flames.” Combustion and Flame, 223:216–229. , arXiv:2009.09840 [physics.flu-dyn]
• Phillip O. Mestas III, Parker Clayton, and Kyle E. Niemeyer. 2019. “pyMARS: automatically reducing chemical kinetic models in Python.” Journal of Open Source Software, 4(41):1543.