| Filtered Wrinkled Flamelets model for Large-Eddy Simulation of turbulent premixed combustion R Mercier, C Mehl, B Fiorina, V Moureau Combustion and Flame 205, 93-108, 2019 | 23 | 2019 |
| Evaluation of deconvolution modelling applied to numerical combustion C Mehl, J Idier, B Fiorina Combustion Theory and Modelling 22 (1), 38-70, 2018 | 20 | 2018 |
| LES investigation of cycle-to-cycle variation in a SI optical access engine using TFM-AMR combustion model J Zembi, M Battistoni, SK Nambully, A Pandal, C Mehl, O Colin International Journal of Engine Research 23 (6), 1027-1046, 2022 | 16 | 2022 |
| LES of a stratified turbulent burner with a Thickened Flame Model coupled to Adaptive Mesh Refinement and detailed chemistry C Mehl, S Liu, YC See, O Colin 2018 Joint Propulsion Conference, 4563, 2018 | 14 | 2018 |
| A strategy to couple thickened flame model and adaptive mesh refinement for the LES of turbulent premixed combustion C Mehl, S Liu, O Colin Flow, Turbulence and Combustion 107 (4), 1003-1034, 2021 | 13 | 2021 |
| Optimized chemistry for Large Eddy Simulations of wrinkled flames C Mehl, M Cailler, R Mercier, V Moureau, B Fiorina Proceedings of the Combustion Institute 38 (2), 3097-3106, 2021 | 7 | 2021 |
| Modeling of spark ignition in gaseous mixtures using adaptive mesh refinement coupled to the thickened flame model ES Garzon, C Mehl, O Colin Combustion and Flame 248, 112507, 2023 | 5 | 2023 |
| Large eddy simulation of a turbulent spray burner using thickened flame model and adaptive mesh refinement A Rezchikova, C Mehl, S Drennan, O Colin Journal of Engineering for Gas Turbines and Power 143 (4), 041015, 2021 | 5 | 2021 |
| Modified diffusion model adapted to non-unity Lewis number mixtures for low flame stretch using the thickened flame model S Poncet, C Mehl, K Truffin, O Colin 11th European Combustion Meeting-ECM 2023, 2023 | 3 | 2023 |
| Clustering-Enhanced Deep Learning Method for Computation of Full Detailed Thermochemical States via Solver-Based Adaptive Sampling X Chen, C Mehl, T Faney, F Di Meglio Energy & Fuels, 2023 | 2 | 2023 |
| On-the-fly accuracy evaluation of artificial neural networks and hybrid method to improve the robustness of neural network accelerated chemistry solving C Mehl, D Aubagnac-Karkar Physics of Fluids 35 (6), 2023 | 2 | 2023 |
| Method for constructing a model simulating a chemical reaction C Mehl, T Faney US Patent US2,024,212,794, 2024 | | 2024 |
| Large-eddy simulation and experimental study of a partially premixed hydrogen/air swirled burner: impact of the injection system K Truffin, PG Luca, TND Ho, J Bertsch, G Maio, C Mehl, V Coquin, ... INFUB-14, European Conference on Industrial Furnaces and Boilers, 2024 | | 2024 |
| Large Eddy Simulation of a Turbulent Spray Burner Using Thickened Flame Model and Adaptive Mesh Refinement A Rezchikova, C Mehl, S Drennan, O Colin Turbo Expo: Power for Land, Sea, and Air 84133, V04BT04A064, 2020 | | 2020 |
| Large Eddy Simulations and complex chemistry for modeling the chemical structure of turbulent flames C Mehl < bound method Organization. get_name_with_acronym of< Organization: TEL …, 2018 | | 2018 |
| Simulation aux Grandes Echelles et chimie complexe pour la modélisation de la structure chimique des flammes turbulentes C Mehl Université Paris-Saclay (ComUE), 2018 | | 2018 |
| The Filtered Wrinkled Flame (FWF) model for Large-Eddy Simulation of turbulent premixed combustion V Moureau, C Mehl, B Fiorina, R Mercier 55th AIAA Aerospace Sciences Meeting, AIAA Science and Technology Forum and …, 2017 | | 2017 |
| SIMULATION OF REACTING FLOWS USING ARTIFICIAL NEURAL NETWORKS: IGNITION TO PROPAGATION TRANSITION IN COMBUSTION SYSTEMS C MEHL, D AUBAGNAC-KARKAR | | |
