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Exploring Soot Inception Rate with Stochastic Modelling and Machine Learning

Di Liddo, L., Saldinger, J. C., Jadidi, M., Elvati, P., Violi, A., & Dworkin, S. B. (2022). Exploring soot inception rate with stochastic modelling and machine learning. Combustion & Flame, 112375.  https://doi.org/10.1016/j.combustflame.2022.112375

Participants

  • Georgia Institute of Technology

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