フォロー
Yifeng Tian
タイトル
引用先
引用先
Numerical study of variable density turbulence interaction with a normal shock wave
Y Tian, FA Jaberi, Z Li, D Livescu
Journal of Fluid Mechanics 829, 551-588, 2017
552017
Data-Driven Learning for the Mori--Zwanzig Formalism: A Generalization of the Koopman Learning Framework
YT Lin, Y Tian, D Livescu, M Anghel
SIAM Journal on Applied Dynamical Systems 20 (4), 2558-2601, 2021
242021
Density effects on post-shock turbulence structure and dynamics
Y Tian, FA Jaberi, D Livescu
Journal of Fluid Mechanics 880, 935-968, 2019
242019
Physics-informed machine learning of the Lagrangian dynamics of velocity gradient tensor
Y Tian, D Livescu, M Chertkov
Physical Review Fluids 6 (9), 094607, 2021
182021
Numerical simulation of multi-fluid shock-turbulence interaction
Y Tian, F Jaberi, D Livescu, Z Li
AIP Conference Proceedings 1793 (1), 150010, 2017
122017
Data-driven learning of Mori–Zwanzig operators for isotropic turbulence
Y Tian, YT Lin, M Anghel, D Livescu
Physics of Fluids 33 (12), 125118, 2021
82021
Regression-based projection for learning Mori--Zwanzig operators
YT Lin, Y Tian, D Livescu
arXiv preprint arXiv:2205.05135, 2022
72022
Physics Informed Machine Learning of SPH: Machine Learning Lagrangian Turbulence
MJ Woodward, Y Tian, C Hyett, C Fryer, D Livescu, M Stepanov, ...
62021
Lagrangian Large Eddy Simulations via Physics Informed Machine Learning
Y Tian, M Woodward, M Stepanov, C Fryer, C Hyett, D Livescu, ...
arXiv preprint arXiv:2207.04012, 2022
52022
Physics informed machine learning with Smoothed particle hydrodynamics: Hierarchy of reduced Lagrangian models of turbulence
M Woodward, Y Tian, C Hyett, C Fryer, D Livescu, M Stepanov, ...
arXiv preprint arXiv:2110.13311, 2021
52021
Modeling of Shock Propagation in Non-uniform Density Media
Y Tian, FA Jaberi, D Livescu
AIAA Scitech 2020 Forum, 0101, 2020
52020
Shock propagation in media with non-uniform density
Y Tian, F Jaberi, D Livescu
31st International Symposium on Shock Waves 1: Fundamentals 31, 1167-1175, 2019
52019
Numerical study of shock–turbulence interactions in variable density flows
Y Tian, F Jaberi, D Livescu, Z Li
Proceedings of TSFP-10 (2017) Chicago, International Symposium on Turbulence …, 2017
42017
Data-Driven Mori-Zwanzig: Approaching a Reduced Order Model for Hypersonic Boundary Layer Transition
M Woodward, Y Tian, AT Mohan, YT Lin, C Hader, D Livescu, HF Fasel, ...
AIAA SCITECH 2023 Forum, 1624, 2023
32023
Density Effects on the Flow Structure in Multi-fluid Shock-turbulence Interaction
Y Tian, FA Jaberi, D Livescu
2018 AIAA Aerospace Sciences Meeting, 0374, 2018
32018
Machine Learning Statistical Lagrangian Geometry of Turbulence
C Hyett, M Chertkov, Y Tian, D Livescu
APS Division of Fluid Dynamics Meeting Abstracts, S01. 024, 2020
22020
Shock-Turbulence Interaction in Variable Density Flows
Y Tian, F Jaberi, D Livescu
Modeling and Simulation of Turbulent Mixing and Reaction: For Power, Energy …, 2020
22020
Assessment of Machine Learning Classification Based Models in Identifying Reaction Occurrence in Turbulence Shockwave Interaction (STI)
I Alshybani, F Jaberi, MS Murillo, Y Tian
AIAA SCITECH 2023 Forum, 0595, 2023
12023
Lagrangian Large Eddy Simulations via Physics-Informed Machine Learning
M Chertkov, Y Tian, M Stepanov, C Fryer, M Woodward, C Hyett, ...
Bulletin of the American Physical Society, 2022
12022
Machine Learning Lagrangian Large Eddy Simulations with Smoothed Particle Hydrodynamics
Y Tian, M Chertkov, M Woodward, M Stepanov, C Fryer, C Hyett, ...
APS Division of Fluid Dynamics Meeting Abstracts, A11. 008, 2021
12021
現在システムで処理を実行できません。しばらくしてからもう一度お試しください。
論文 1–20