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physics.flu-dyn2026
Uncovering flame physics with machine learning: application to the reaction rate in hydrogen flames
Antonio Attili, Ludovico Nista, Tommaso Baffetti +6
Convolutional Neural Networks (CNNs) are used as analytical tools to investigate the relationship between the progress variable field and the local chemical source term in lean pre…
physics.flu-dyn2026
Effect of fuel stratification length scale on thermodiffusively unstable lean hydrogen flames
Filippo Fruzza, Sofiane Al Kassar, Rachele Lamioni +2
Lean premixed hydrogen flames are highly susceptible to thermodiffusive instabilities, which generate complex cellular structures and enhance propagation speed. In practical combus…