12 citations · 27 across the 7 of their papers we have counts for
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physics.flu-dyn2018★ 8 cited
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…
physics.flu-dyn2018
Assessment of deconvolution-based flamelet methods for progress variable rate modeling
Zacharias Nikolaou, Luc Vervisch
A novel approach for modeling the progress variable reaction rate in Large Eddy Simulations of turbulent and reacting flows is proposed. This is done in the context of two popular…