26 citations · 75 across the 11 of their papers we have counts for
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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
Large-eddy simulations of a lean hydrogen premixed turbulent jet flame with tabulated chemistry
Emiliano M. Fortes, Eduardo J. Pérez-Sánchez, Temistocle Grenga +3
Large-eddy simulations (LES) of a planar turbulent lean hydrogen-air jet flame at Re = 11000 are performed using a tabulated flamelet model based on mixture-averaged diffusion that…