| Modeling of radiation and nitric oxide formation in turbulent nonpremixed flames using a flamelet/progress variable formulation M Ihme, H Pitsch Physics of Fluids 20 (5), 2008 | 438 | 2008 |
| Prediction of local extinction and re-ignition effects in non-premixed turbulent combustion using a flamelet/progress variable approach M Ihme, CM Cha, H Pitsch Proceedings of the Combustion Institute 30 (1), 793-800, 2005 | 369 | 2005 |
| Prediction of extinction and reignition in nonpremixed turbulent flames using a flamelet/progress variable model: 2. Application in LES of Sandia flames D and E M Ihme, H Pitsch Combustion and flame 155 (1-2), 90-107, 2008 | 364 | 2008 |
| Combustion machine learning: Principles, progress and prospects M Ihme, WT Chung, AA Mishra Progress in Energy and Combustion Science 91, 101010, 2022 | 311 | 2022 |
| Prediction of autoignition in a lifted methane/air flame using an unsteady flamelet/progress variable model M Ihme, YC See Combustion and Flame 157 (10), 1850-1862, 2010 | 280 | 2010 |
| Prediction of extinction and reignition in nonpremixed turbulent flames using a flamelet/progress variable model: 1. A priori study and presumed PDF closure M Ihme, H Pitsch Combustion and flame 155 (1-2), 70-89, 2008 | 254 | 2008 |
| Regularization of reaction progress variable for application to flamelet-based combustion models M Ihme, L Shunn, J Zhang Journal of Computational Physics 231 (23), 7715-7721, 2012 | 244 | 2012 |
| LES flamelet modeling of a three-stream MILD combustor: Analysis of flame sensitivity to scalar inflow conditions M Ihme, YC See Proceedings of the Combustion Institute 33 (1), 1309-1317, 2011 | 235 | 2011 |
| A review of physics-informed machine learning in fluid mechanics P Sharma, WT Chung, B Akoush, M Ihme Energies 16 (5), 2343, 2023 | 231 | 2023 |
| Fuel effects on lean blow-out in a realistic gas turbine combustor L Esclapez, PC Ma, E Mayhew, R Xu, S Stouffer, T Lee, H Wang, M Ihme Combustion and Flame 181, 82-99, 2017 | 230 | 2017 |
| An entropy-stable hybrid scheme for simulations of transcritical real-fluid flows PC Ma, Y Lv, M Ihme Journal of Computational Physics 340, 330-357, 2017 | 226 | 2017 |
| Optimal artificial neural networks and tabulation methods for chemistry representation in LES of a bluff-body swirl-stabilized flame M Ihme, C Schmitt, H Pitsch Proceedings of the Combustion Institute 32 (1), 1527-1535, 2009 | 220 | 2009 |
| Combustion and engine-core noise M Ihme Annual Review of Fluid Mechanics 49 (1), 277-310, 2017 | 177 | 2017 |
| Next day wildfire spread: A machine learning dataset to predict wildfire spreading from remote-sensing data F Huot, RL Hu, N Goyal, T Sankar, M Ihme, YF Chen IEEE Transactions on Geoscience and Remote Sensing 60, 1-13, 2022 | 162 | 2022 |
| An unsteady/flamelet progress variable method for LES of nonpremixed turbulent combustion H Pitsch, M Ihme 43rd AIAA Aerospace Sciences Meeting and Exhibit, 557, 2005 | 140 | 2005 |
| Discontinuous Galerkin method for multicomponent chemically reacting flows and combustion Y Lv, M Ihme Journal of Computational Physics 270, 105-137, 2014 | 137 | 2014 |
| Large-eddy simulation of a jet-in-hot-coflow burner operating in the oxygen-diluted combustion regime M Ihme, J Zhang, G He, B Dally Flow, turbulence and combustion 89 (3), 449-464, 2012 | 130 | 2012 |
| Compositional inhomogeneities as a source of indirect combustion noise L Magri, J O’Brien, M Ihme Journal of Fluid Mechanics 799, R4, 2016 | 121 | 2016 |
| Ignition regimes in rapid compression machines KP Grogan, SS Goldsborough, M Ihme Combustion and Flame 162 (8), 3071-3080, 2015 | 114 | 2015 |
| Analysis of segregation and bifurcation in turbulent spray flames: A 3D counterflow configuration A Vié, B Franzelli, Y Gao, T Lu, H Wang, M Ihme Proceedings of the Combustion Institute 35 (2), 1675-1683, 2015 | 112 | 2015 |
