Modelling turbulent premixed flames using convolutional neural networks: application to sub-grid scale variance and filtered reaction rate

Zacharias M. Nikolaou, Charalambos Chrysostomou, Luc Vervisch +1

A purely data-driven approach using deep convolutional neural networks is discussed in the context of Large Eddy Simulation (LES) of turbulent premixed flames. The assessment of th…