| 1 |
Training convolutional neural networks to estimate turbulent sub-grid scale reaction rates
Lapeyre CJ, Misdariis A, Cazard N, Veynante D, Poinsot T
Combustion and Flame, 203, 255, 2019 |
| 2 |
Influence of chemical schemes, numerical method and dynamic turbulent combustion modeling on LES of premixed turbulent flames
Rochette B, Collin-Bastiani F, Gicquel L, Vermorel O, Veynante D, Poinsot T
Combustion and Flame, 191, 417, 2018 |
| 3 |
Large eddy simulation of a turbulent swirling premixed flame coupling the TFLES model with a dynamic wrinkling formulation
Volpiani PS, Schmitt T, Veynante D
Combustion and Flame, 180, 124, 2017 |
| 4 |
Large eddy simulation of explosion deflagrating flames using a dynamic wrinkling formulation
Volpiani PS, Schmitt T, Vermorel O, Quillatre P, Veynante D
Combustion and Flame, 186, 17, 2017 |
| 5 |
A posteriori tests of a dynamic thickened flame model for large eddy simulations of turbulent premixed combustion
Volpiani PS, Schmitt T, Veynante D
Combustion and Flame, 174, 166, 2016 |
| 6 |
Analysis of dynamic models for large eddy simulations of turbulent premixed combustion
Veynante D, Moureau V
Combustion and Flame, 162(12), 4622, 2015 |
| 7 |
Simulation of CO and NO emissions in a SI engine using a 0D coherent flame model coupled with a tabulated chemistry approach
Bougrine S, Richard S, Michel JB, Veynante D
Applied Energy, 113, 1199, 2014 |
| 8 |
Assessing LES models based on tabulated chemistry for the simulation of Diesel spray combustion
Tillou J, Michel JB, Angelberger C, Veynante D
Combustion and Flame, 161(2), 525, 2014 |
| 9 |
A Filtered Tabulated Chemistry model for LES of stratified flames
Auzillon P, Gicquel O, Darabiha N, Veynante D, Fiorina B
Combustion and Flame, 159(8), 2704, 2012 |
| 10 |
Large eddy simulation of a growing turbulent premixed flame kernel using a dynamic flame surface density model
Wang GF, Boileau M, Veynante D, Truffin K
Combustion and Flame, 159(8), 2742, 2012 |
