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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
Turbulent hydrogen premixed flames at high pressure and high temperature
Sofiane Al Kassar, Sara Cantagalli, William Lauder +2
The combined influence of elevated pressure and temperature, representative of gas-turbine operating conditions, on lean premixed hydrogen flames is investigated using Direct Numer…