Deep learning for presumed probability density function models

Marc T. Henry de Frahan, Shashank Yellapantula, Ryan King +2

In this work, we use ML techniques to develop presumed PDF models for large eddy simulations of reacting flows. The joint sub-filter PDF of mixture fraction and progress variable i…