| Auto-ignition of oxymethylene ethers (OMEn, n= 2–4) as promising synthetic e-fuels from renewable electricity: shock tube experiments and automatic mechanism generation L Cai, S Jacobs, R Langer, F vom Lehn, KA Heufer, H Pitsch Fuel 264, 116711, 2020 | 106 | 2020 |
| Sensitivity analysis, uncertainty quantification, and optimization for thermochemical properties in chemical kinetic combustion models F vom Lehn, L Cai, H Pitsch Proceedings of the Combustion Institute 37 (1), 771-779, 2019 | 58 | 2019 |
| Laminar burning velocities, CO, and NOx emissions of premixed polyoxymethylene dimethyl ether flames S Eckart, L Cai, C Fritsche, F vom Lehn, H Pitsch, H Krause Fuel 293, 120321, 2021 | 49 | 2021 |
| Higher alcohol and ether biofuels for compression-ignition engine application: a review with emphasis on combustion kinetics L Cai, F vom Lehn, H Pitsch Energy & Fuels 35 (3), 1890-1917, 2021 | 48 | 2021 |
| Using machine learning with target-specific feature sets for structure-property relationship modeling of octane numbers and octane sensitivity F vom Lehn, B Brosius, R Broda, L Cai, H Pitsch Fuel 281, 118772, 2020 | 45 | 2020 |
| Impact of thermochemistry on optimized kinetic model predictions: Auto-ignition of diethyl ether F vom Lehn, L Cai, H Pitsch Combustion and Flame 210, 454-466, 2019 | 42 | 2019 |
| A property database of fuel compounds with emphasis on spark-ignition engine applications F vom Lehn, L Cai, R Tripathi, R Broda, H Pitsch Applications in Energy and Combustion Science 5, 100018, 2021 | 41 | 2021 |
| Exploring the fuel structure dependence of laminar burning velocity: A machine learning based group contribution approach F vom Lehn, L Cai, BC Caceres, H Pitsch Combustion and Flame 232, 111525, 2021 | 38 | 2021 |
| Investigating the impacts of thermochemical group additivity values on kinetic model predictions through sensitivity and uncertainty analyses F vom Lehn, L Cai, H Pitsch Combustion and Flame 213, 394-408, 2020 | 29 | 2020 |
| Experimental investigation of pulverized coal flames in CO2/O2-and N2/O2-atmospheres: Comparison of solid particle radiative characteristics D Zabrodiec, J Hees, A Massmeyer, F Vom Lehn, M Habermehl, ... Fuel 201, 136-147, 2017 | 23 | 2017 |
| Iterative model-based experimental design for efficient uncertainty minimization of chemical mechanisms F vom Lehn, L Cai, H Pitsch Proceedings of the Combustion Institute 38 (1), 1033-1042, 2021 | 18 | 2021 |
| Adjoint sensitivity analysis of kinetic, thermochemical, and transport data of nitrogen and ammonia chemistry R Langer, J Lotz, L Cai, F vom Lehn, K Leppkes, U Naumann, H Pitsch Proceedings of the Combustion Institute 38 (1), 777-785, 2021 | 16 | 2021 |
| Updated thermochemistry for renewable transportation fuels: New groups and group values for acetals and ethers, their radicals, and peroxy species M Döntgen, WA Kopp, F vom Lehn, LC Kröger, H Pitsch, K Leonhard, ... International Journal of Chemical Kinetics 53 (2), 299-307, 2021 | 10 | 2021 |
| On the use of active pre-chambers and bio-hybrid fuels in internal combustion engines P Burkardt, M Fleischmann, T Wegmann, M Braun, J Knöll, L Schumacher, ... Engines and Fuels for Future Transport, 205-231, 2022 | 9 | 2022 |
| Combustion Kinetics of the Synthetic E-Fuels Methyl Formate and Dimethyl Carbonate: A Modeling and Experimental Study F vom Lehn, S Jacobs, C Bariki, Q Mao, D Yan, J Beeckmann, KA Heufer, ... 30. Deutscher Flammentag, 2021 | 5 | 2021 |
| Molecular Design of Fuels for Maximum Spark-Ignition Engine Efficiency by Combining Predictive Thermodynamics and Machine Learning L Fleitmann, P Ackermann, J Schilling, J Kleinekorte, JG Rittig, ... Energy & Fuels 37 (3), 2213-2229, 2023 | 4 | 2023 |
| Numerical Investigation of the Effect of Dissolved Non-Condensable Gases on Hydraulic Flip in Cavitating Nozzles M Bode, F vom Lehn, H Pitsch 10th International Symposium on Cavitation (CAV2018), May 14-16, Baltimore (USA), 2018 | 4 | 2018 |
| Numerical analysis and flamelet modeling of NOx formation in a thermodiffusively unstable hydrogen flame X Wen, L Berger, F Vom Lehn, A Parente, H Pitsch Combustion and Flame 253, 112817, 2023 | 2 | 2023 |
| Thermochemical property estimation based on group additivity method: Impact of groups on kinetic model predictions F vom Lehn, L Cai, H Pitsch Proceedings of the 9th European Combustion Meeting, April 14-17, Lisbon …, 2019 | 2 | 2019 |
| Using machine learning in model development for global fuel autoignition quantities F vom Lehn, B Brosius, D Brust, L Cai, H Pitsch 29. Deutscher Flammentag, 17-18 September, Bochum (Germany), 2019 | 2 | 2019 |
Heinz PitschRWTH Aachen University, Stanford University, UC San Diego在 itv.rwth-aachen.de 的电子邮件经过验证
