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

8 citations · 8 across the 1 of their papers we have counts for

collaborators

2 papers

physics.flu-dyn2025

A computational approach for the study of electromagnetic interactions in reacting flows

Efstratios M. Kritikos, Stewart Cant, Andrea Giusti

A computational fluid dynamics methodology for the simulation of electromagnetic interactions in compressible reacting flows has been formulated. The developed code, named EMI, is…

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…