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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
Scaling Laws for Thermodiffusively Unstable Lean Premixed Turbulent Hydrogen-Air Flames
M. Gauding T. Lehmann, T. L. Howarth, L. Berger +9
Lean premixed hydrogen-air flames are strongly affected by thermodiffusive (TD) instabilities, which can alter the flame structure and enhance the local reactivity many-fold. Two r…