| A priori assessment of convolutional neural network and algebraic models for flame surface density of high Karlovitz premixed flames J Ren, H Wang, K Luo, J Fan Physics of Fluids 33 (3), 2021 | 27 | 2021 |
| Predictive models for flame evolution using machine learning: A priori assessment in turbulent flames without and with mean shear J Ren, H Wang, G Chen, K Luo, J Fan Physics of Fluids 33 (5), 2021 | 23 | 2021 |
| 2-D and 3-D measurements of flame stretch and turbulence–flame interactions in turbulent premixed flames using DNS H Wang, ER Hawkes, J Ren, G Chen, K Luo, J Fan Journal of Fluid Mechanics 913, A11, 2021 | 19 | 2021 |
| A lower-dimensional approximation model of turbulent flame stretch and its related quantities with machine learning approaches J Ren, H Wang, J Xing, K Luo, J Fan Physics of Fluids 32 (11), 2020 | 15 | 2020 |
| A Priori Modeling of NO Formation with Principal Component Analysis and the Convolutional Neural Network in the Context of Large Eddy Simulation J Ren, H Wang, K Luo, J Fan Energy & Fuels 35 (24), 20272-20283, 2021 | 6 | 2021 |
| DNS Of the ignition process of n-heptane/air premixed combustion with low-temperature chemistry in turbulent boundary layer J Ren, H Wang, C Xu, JH Chen, K Luo, J Fan Proceedings of the Combustion Institute 39 (2), 2239-2248, 2023 | 4 | 2023 |
| High-resolution reconstruction and a-priori modeling of turbulent flames in the context of large eddy simulation using the convolutional neural network S Liu, H Wang, J Ren, K Luo, J Fan Proceedings of the Combustion Institute 39 (4), 5187-5197, 2023 | 4 | 2023 |
| Lower-dimensional approximation models of tangential strain rate of turbulent flames R Jiahao, W Haiou, X Jiangkuan Journal of Zhejiang University (Engineering Science) 55 (7), 1-8, 2021 | 3 | 2021 |
| Investigation of entrainment and its effect on flame stabilization in a turbulent high Karlovitz number premixed jet flame using direct numerical simulation J Ren, H Wang, K Luo, J Fan Flow, Turbulence and Combustion 112 (2), 537-556, 2024 | 2 | 2024 |
| A-priori and a-posterior studies of filtered probability density function models and NO formation prediction in turbulent stratified premixed combustion using machine learning J Ren, H Wang, C Wang, K Luo, J Fan Fuel 333, 126358, 2023 | 2 | 2023 |
Haiou WangResearch Professor at Zhejiang University在 zju.edu.cn 的电子邮件经过验证
Haiou WangResearch Professor at Zhejiang University在 zju.edu.cn 的电子邮件经过验证