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A Machine Learning Framework for Drop-in Volume Swell Characteristics of Sustainable Aviation Fuel

Kosir, S., Heyne, J., & Graham, J. (2020). A machine learning framework for drop-in volume swell characteristics of sustainable aviation fuel. Fuel, 274, 117832.  https://doi.org/10.1016/j.fuel.2020.117832.

Participants

  • University of Dayton

Projects

  • National Jet Fuels Combustion Program - Area #7: Overall Program Integration and Analysis (COMPLETE)

Lead Investigators

  • Joshua S. Heyne

    FAA Center of Excellence for Alternative Jet Fuels & Environment

    • Washington State University
    • Massachusetts Institute of Technology
    • Federal Aviation Administration
    © Washington State University