| Acoustic streaming vortices enable contactless, digital control of droplets P Zhang, C Chen, X Su, J Mai, Y Gu, Z Tian, H Zhu, Z Zhong, H Fu, ... Science Advances 6 (24), eaba0606, 2020 | 51 | 2020 |
| Acoustohydrodynamic tweezers via spatial arrangement of streaming vortices H Zhu, P Zhang, Z Zhong, J Xia, J Rich, J Mai, X Su, Z Tian, H Bachman, ... Science Advances 7 (2), eabc7885, 2021 | 44 | 2021 |
| Uncertainty analysis in mechanism reduction via active subspace and transition state analyses X Su, W Ji, Z Ren Combustion and Flame 227, 135-146, 2021 | 14 | 2021 |
| Quantification of modeling uncertainties in turbulent flames through successive dimension reduction N Wang, Q Xie, X Su, Z Ren Combustion and Flame 222, 476-489, 2020 | 14 | 2020 |
| Deterministic droplet coding via acoustofluidics P Zhang, W Wang, H Fu, J Rich, X Su, H Bachman, J Xia, J Zhang, S Zhao, ... Lab on a Chip 20 (23), 4466-4473, 2020 | 12 | 2020 |
| SGD-based optimization in modeling combustion kinetics: Case studies in tuning mechanistic and hybrid kinetic models W Ji, X Su, B Pang, Y Li, Z Ren, S Deng Fuel 324, 124560, 2022 | 10 | 2022 |
| Arrhenius. jl: A Differentiable Combustion SimulationPackage W Ji, X Su, B Pang, SJ Cassady, AM Ferris, Y Li, Z Ren, R Hanson, ... arXiv preprint arXiv:2107.06172, 2021 | 9 | 2021 |
| Active Control of Multiple Neural Networks for Oscillating Combustion L Zhang, X Su, H Zhou, X Wang, Z Ren AIAA Journal 60 (6), 3821-3833, 2022 | 7 | 2022 |
| Kinetics parameter optimization of hydrocarbon fuels via neural ordinary differential equations X Su, W Ji, J An, Z Ren, S Deng, CK Law Combustion and Flame 251, 112732, 2023 | 6 | 2023 |
| Data-Driven Modeling of General Fluid Density Under Subcritical and Supercritical Conditions M Zhou, W Chen, X Su, CL Sung, X Wang, Z Ren AIAA Journal 61 (4), 1519-1531, 2023 | 6 | 2023 |
| Kinetics Parameter Optimization via Neural Ordinary Differential Equations X Su, W Ji, J An, Z Ren, S Deng, CK Law arXiv preprint arXiv:2209.01862, 2022 | 4 | 2022 |
| A mixing timescale model for differential mixing in transported probability density function simulations of turbulent non-premixed flames J Wei, X Su, X Wang, H Zhou, ER Hawkes, Z Ren Physics of Fluids 34 (6), 2022 | 4 | 2022 |
| Investigation of reaction-induced subgrid scalar mixing in LES/FDF simulations of turbulent premixed flames X Wang, J Wei, X Su, H Zhou, Z Ren Physical Review Fluids 7 (12), 124603, 2022 | 3 | 2022 |
| Assessment of critical species for differential mixing in transported PDF simulations of a non-premixed ethylene DNS flame J Wei, X Su, H Zhou, E Hawkes, Z Ren Combustion and Flame 244, 112240, 2022 | 3 | 2022 |
| Sliding mode control for longitudinal oscillating combustion L Zhang, X Su, H Zhou, Z Ren Combustion Theory and Modelling, 2023 | 2 | 2023 |
| A pairwise mixing model with kernel constraint and its appraisal in transported PDF simulations of ethylene flames X Su, J Wei, X Wang, H Zhou, ER Hawkes, Z Ren Combustion and Flame 255, 112916, 2023 | 1 | 2023 |
| Uncertainty analysis of soot formation in laminar flames simulated with a sectional method X Su, MJ Cleary, H Zhou, Z Ren, AR Masri Combustion and Flame 265, 113430, 2024 | | 2024 |
| Exploring the chemical kinetic effects on the direct detonation initiation in H2-O2-Ar mixtures Y Liu, Y Chen, Q Xie, X Su, Z Ren, H Zeng Combustion Theory and Modelling, 1-26, 2024 | | 2024 |
| Uncertainty analysis of soot formation in a burner stabilized stagnation flame X Su, MJ Cleary, H Zhou, Z Ren, AR Masri 14th Asia-Pacific Conference on Combustion, ASPACC 2023, paper 102, 2023 | | 2023 |
| Neural Differential Equations for Inverse Modeling in Model Combustors X Su, W Ji, L Zhang, W Wu, Z Ren, S Deng ASME International Mechanical Engineering Congress and Exposition 85673 …, 2021 | | 2021 |
ZHUYIN RENTsinghua University在 tsinghua.edu.cn 的电子邮件经过验证
ZHUYIN RENTsinghua University在 tsinghua.edu.cn 的电子邮件经过验证
Weiqi JiBosch | Massachusetts Institute of Technology在 mit.edu 的电子邮件经过验证
Hua ZhouTsinghua University在 tsinghua.edu.cn 的电子邮件经过验证