Segui
Yixing Li
Yixing Li
School of Aerospace Engineering, Georgia Institute of Technology
Email verificata su gatech.edu
Titolo
Citata da
Citata da
Anno
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
472018
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
332018
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
322018
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
272017
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
192021
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
192021
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
182023
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
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
92020
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
Proceedings of the 11th US National Combustion Meeting, 71TF-0396, Pasadena …, 2019
82019
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
62017
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
52022
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
32021
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
32018
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
3D-IC In-Design Thermal Analysis and Optimization
L Lu, J Zhu, Y Li, A Nagarajan, J Liu, SY Shiau, X Ai
2024 23rd IEEE Intersociety Conference on Thermal and Thermomechanical …, 2024
2024
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
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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