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Learning to Predict Sustainable Aviation Fuel Properties: A Deep Uncertainty Quantification Viewpoint

Oh, J. H., Oldani, A., Solecki, A., & Lee, T. (2024). Learning to predict sustainable aviation fuel properties: A deep uncertainty quantification viewpoint. Fuel, 356, 129508. https://doi.org/10.1016/j.fuel.2023.129508

Participants

  • University of Illinois

Projects

  • Alternative Fuels Test Database Library

Lead Investigators

  • Tonghun Lee

    FAA Center of Excellence for Alternative Jet Fuels & Environment

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