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A Machine Learning Framework to Predict the Aggregation of Polycyclic Aromatic Compounds

Saldinger, J.C., Elvati, P., & Violi, A. (2023). A machine learning framework to predict the aggregation of polycyclic aromatic compounds. Proceedings of the Combustion Institute, 39(1):1009-1017. https://doi.org/10.1016/j.proci.2022.08.109

Projects

  • Predictive Simulation of nvPM Emissions in Aircraft Combustors

Lead Investigators

  • Angela Violi

    FAA Center of Excellence for Alternative Jet Fuels & Environment

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