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Yixing Li
Yixing Li
School of Aerospace Engineering, Georgia Institute of Technology
Verified email at gatech.edu
Title
Cited by
Cited by
Year
Supercritical fluid flow dynamics and mixing in gas-centered liquid-swirl coaxial injectors
L Zhang, X Wang, Y Li, ST Yeh, V Yang
Physics of Fluids 30 (7), 2018
432018
Supercritical combustion of gas-centered liquid-swirl coaxial injectors for staged-combustion engines
X Wang, L Zhang, Y Li, ST Yeh, V Yang
Combustion and Flame 197, 204-214, 2018
312018
Near-field flame dynamics of liquid oxygen/kerosene bi-swirl injectors at supercritical conditions
X Wang, Y Li, Y Wang, V Yang
Combustion and Flame 190, 1-11, 2018
312018
Comparison of tabulation and correlated dynamic evaluation of real fluid properties for supercritical mixing
S Yang, Y Li, X Wang, U Unnikrishnan, V Yang, W Sun
53rd AIAA/SAE/ASEE joint propulsion conference, 4858, 2017
252017
Reduced-order modeling for complex flow emulation by common kernel-smoothed proper orthogonal decomposition
YH Chang, X Wang, L Zhang, Y Li, S Mak, CFJ Wu, V Yang
AIAA Journal 59 (9), 3291-3303, 2021
112021
Surrogate-based modeling for emulation of supercritical injector flow and combustion
X Wang, YH Chang, Y Li, V Yang, YH Su
Proceedings of the Combustion Institute 38 (4), 6393-6401, 2021
102021
Flow dynamics of gaseous oxygen/kerosene jet-swirl injectors at supercritical conditions
Y Li, X Wang, L Zhang, ST Yeh, V Yang
55th AIAA Aerospace Sciences Meeting, 1107, 2017
102017
DeepOHeat: operator learning-based ultra-fast thermal simulation in 3D-IC design
Z Liu, Y Li, J Hu, X Yu, S Shiau, X Ai, Z Zeng, Z Zhang
2023 60th ACM/IEEE Design Automation Conference (DAC), 1-6, 2023
82023
Accelerating numerical simulations of supercritical fluid flows using deep neural networks
PJ Milan, X Wang, JP Hickey, Y Li, V Yang
AIAA Scitech 2020 Forum, 1157, 2020
72020
Time-efficient methods for real fluid property evaluation in numerical simulation of chemically reacting flows
PJ Milan, Y Li, X Wang, S Yang, W Sun, V Yang
11th US National Combustion Meeting, 71TF-0396, 1-10, 2019
72019
Restoring the real world records in Men’s swimming without high-tech swimsuits
Z Gao, Y Li, Z Wang
Journal of Quantitative Analysis in Sports 16 (4), 291-300, 2020
62020
A two-stage transfer function identification methodology and its applications to bi-swirl injectors
Y Li, X Wang, S Mak, ST Yeh, LH Lin, CFJ Wu, V Yang
53rd AIAA/SAE/ASEE Joint Propulsion Conference, 4933, 2017
52017
Effect of recess length on flow dynamics in gas-centered liquid-swirl coaxial injectors under supercritical conditions
L Zhang, Y Li, X Wang, V Yang
Aerospace Science and Technology 128, 107757, 2022
42022
Common kernel-smoothed proper orthogonal decomposition (CKSPOD): An efficient reduced-order model for emulation of spatiotemporally evolving flow dynamics
YH Chang, X Wang, L Zhang, Y Li, S Mak, CFJ Wu, V Yang
arXiv preprint arXiv:2101.08893, 2021
22021
A novel surrogate model for emulation of bi-fluid swirl injector flow dynamics
Y Li, X Wang, YH Chang, PJ Milan, V Yang
AIAA Scitech 2020 Forum, 1070, 2020
22020
Uncertainty quantification of flame transfer function under a bayesian framework
Y Li, X Wang, S Mak, CL Sung, J Wu, V Yang
2018 AIAA Aerospace Sciences Meeting, 1187, 2018
22018
Machine Learning Approaches for Computational Fluid Dynamics of Supercritical Fluid Flows
PJ Milan, X Wang, Y Li, V Yang
ILASS-ASIA 2020, 1-9, 2020
2020
High-fidelity numerical simulation and emulation of bi-fluid swirl injector flow and combustion dynamics
Y Li
Georgia Institute of Technology, 2019
2019
170 2 次元離散渦法による波型翼周りの流れの数値シミュレーション (学生賞 I, 一般講演)
李一興, 吉川穣, 茂田正哉, 伊澤精一郎, 福西祐
東北支部総会・講演会 講演論文集 2013.48, 142-143, 2013
2013
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