| Emission prediction and analysis on CH4/NH3/air swirl flames with LES-FGM method Z An, M Zhang, W Zhang, R Mao, X Wei, J Wang, Z Huang, H Tan Fuel 304, 121370, 2021 | 98 | 2021 |
| Effect of differential diffusion on turbulent lean premixed hydrogen enriched flames through structure analysis W Zhang, J Wang, W Lin, R Mao, H Xia, M Zhang, Z Huang International Journal of Hydrogen Energy 45 (18), 10920-10931, 2020 | 48 | 2020 |
| Experimental study of compact swirl flames with lean premixed CH4/H2/air mixtures at stable and near blow-off conditions W Zhang, J Wang, R Mao, W Lin, B Lin, Y Wu, M Zhang, Z Huang Experimental Thermal and Fluid Science 122, 110294, 2021 | 41 | 2021 |
| Effect of high hydrogen enrichment on the outer-shear-layer flame of confined lean premixed CH4/H2/air swirl flames R Mao, J Wang, W Zhang, Z An, W Lin, M Zhang, Z Huang international journal of hydrogen energy 46 (34), 17969-17981, 2021 | 38 | 2021 |
| Experimental study on structure and blow-off characteristics of NH3/CH4 co-firing flames in a swirl combustor L Ji, J Wang, G Hu, R Mao, W Zhang, Z Huang Fuel 314, 123027, 2022 | 36 | 2022 |
| DeepFlame: A deep learning empowered open-source platform for reacting flow simulations R Mao, M Lin, Y Zhang, T Zhang, ZQJ Xu, ZX Chen Computer Physics Communications 291, 108842, 2023 | 31 | 2023 |
| Effects of flow–flame interactions on the stabilization of ultra-lean swirling CH4/H2/air flames R Mao, J Wang, W Lin, W Han, W Zhang, Z Huang Fuel 319, 123619, 2022 | 21 | 2022 |
| Effect of confinement ratio on flame structure and blow-off characteristics of swirl flames L Ji, J Wang, W Zhang, R Mao, G Hu, Z Huang Experimental Thermal and Fluid Science 135, 110630, 2022 | 17 | 2022 |
| Effect of DME addition on turbulent flame structure in lean premixed CH4/DME/air mixtures W Lin, J Wang, R Mao, W Zhang, H Xia, M Zhang, Z Huang Fuel 294, 120443, 2021 | 9 | 2021 |
| Graphics processing unit/artificial neural network-accelerated large-eddy simulation of swirling premixed flames M Zhang, R Mao, H Li, Z An, ZX Chen Physics of Fluids 36 (5), 2024 | 7 | 2024 |
| An integrated framework for accelerating reactive flow simulation using GPU and machine learning models R Mao, M Zhang, Y Wang, H Li, J Xu, X Dong, Y Zhang, ZX Chen Proceedings of the Combustion Institute 40 (1-4), 105512, 2024 | 5 | 2024 |
| Experimental investigation of low-temperature autoignition in turbulent premixed swirling flames W Lin, W Han, J Wang, R Mao, W Zhang, X Cai, Z Huang Proceedings of the Combustion Institute 39 (4), 4801-4810, 2023 | 4 | 2023 |
| Comprehensive deep learning for combustion chemistry integration: Multi-fuel generalization and a posteriori validation in reacting flow H Li, R Yang, Y Xu, M Zhang, R Mao, ZX Chen Physics of Fluids 37 (1), 2025 | 1 | 2025 |
| A comprehensive study on the accuracy and generalization of deep learning-generated chemical ODE integrators H Li, R Yang, M Zhang, R Mao, ZX Chen arXiv preprint arXiv:2312.16387, 2023 | | 2023 |
| GPU-accelerated Large Eddy Simulation of turbulent stratified flames with machine learning chemistry M Zhang, R Mao, H Li, R Yang, ZX Chen arXiv preprint arXiv:2312.05800, 2023 | | 2023 |
| Detailed simulation of LOX/GCH4 flame-vortex interaction in supercritical Taylor-Green flows with machine learning J Xu, Y Xu, Z Weng, Y Cai, R Mao, R Yang, ZX Chen arXiv preprint arXiv:2312.04830, 2023 | | 2023 |
Zuohua HuangSchool Energy Power Engg, Xi'an Jiaotong Univ.Верификована је имејл адреса на mail.xjtu.edu.cn
