Enregistré dans:
| Auteurs principaux: | Liu, Zhuoran, Wang, Haochen, Zhao, Zhuolin, Xiao, Heng |
|---|---|
| Format: | Preprint |
| Publié: |
2025
|
| Sujets: | |
| Accès en ligne: | https://arxiv.org/abs/2509.17189 |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Data-driven oscillator model for multi-frequency turbulent flows
par: Kim, Youngjae, et autres
Publié: (2026)
par: Kim, Youngjae, et autres
Publié: (2026)
Time-resolving PIV measurements and modal analysis of turbulent flow in a bench-scale hydrodynamic separator
par: Li, Haochen
Publié: (2024)
par: Li, Haochen
Publié: (2024)
Data-driven turbulence modeling
par: Cinnella, Paola
Publié: (2024)
par: Cinnella, Paola
Publié: (2024)
Physics informed data-driven near-wall modelling for lattice Boltzmann simulation of high Reynolds number turbulent flows
par: Xue, Xiao, et autres
Publié: (2024)
par: Xue, Xiao, et autres
Publié: (2024)
A unified transition mechanism from shock to detonation waves
par: Yan, Hao, et autres
Publié: (2024)
par: Yan, Hao, et autres
Publié: (2024)
Active flow control for drag reduction through multi-agent reinforcement learning on a turbulent cylinder at $Re_D=3900$
par: Suárez, P., et autres
Publié: (2024)
par: Suárez, P., et autres
Publié: (2024)
Improving turbulence control through explainable deep learning
par: Beneitez, Miguel, et autres
Publié: (2025)
par: Beneitez, Miguel, et autres
Publié: (2025)
A novel data-driven method for augmenting turbulence modeling for unsteady cavitating flows
par: Apte, Dhruv, et autres
Publié: (2024)
par: Apte, Dhruv, et autres
Publié: (2024)
Interpretable data-driven turbulence modeling for separated flows using symbolic regression with unit constraints
par: Zhang, Boqian, et autres
Publié: (2024)
par: Zhang, Boqian, et autres
Publié: (2024)
Data-driven turbulence modelling for magnetohydrodynamic flows in annular pipes
par: Santamaria, Alejandro Montoya, et autres
Publié: (2025)
par: Santamaria, Alejandro Montoya, et autres
Publié: (2025)
Cascades of turbulent kinetic energy and multicomponent scalars in a momentum-scalar coupling turbulence driven by multiscale forces under homogeneous and isotropic hypotheses
par: Zhao, Wei
Publié: (2023)
par: Zhao, Wei
Publié: (2023)
A unified framework for prediction of vortex-induced vibration based on the nonlinear data-driven identification of general wake oscillator modeling
par: Cheng, Zhi, et autres
Publié: (2024)
par: Cheng, Zhi, et autres
Publié: (2024)
Mixed data-source transfer learning for a turbulence model augmented physics-informed neural network
par: Toma, Christian, et autres
Publié: (2026)
par: Toma, Christian, et autres
Publié: (2026)
Data-driven turbulent heat flux modeling with inputs of multiple fidelity
par: Fiore, Matilde, et autres
Publié: (2024)
par: Fiore, Matilde, et autres
Publié: (2024)
Reduced-order modeling of a viscoelastic turbulent jet with hybrid machine learning models
par: Amor, Christian, et autres
Publié: (2026)
par: Amor, Christian, et autres
Publié: (2026)
Quantum machine learning for efficient reduced order modelling of turbulent flows
par: Li, Han, et autres
Publié: (2025)
par: Li, Han, et autres
Publié: (2025)
Active flow control of a turbulent separation bubble through deep reinforcement learning
par: Font, Bernat, et autres
Publié: (2024)
par: Font, Bernat, et autres
Publié: (2024)
Statistical machine learning tools for probabilistic closures of turbulence models
par: Lemos, Julia Domingues, et autres
Publié: (2025)
par: Lemos, Julia Domingues, et autres
Publié: (2025)
Towards a full-scale version of Yakhot's model of strong turbulence
par: Renner, Christoph
Publié: (2026)
par: Renner, Christoph
Publié: (2026)
Flow control of three-dimensional cylinders transitioning to turbulence via multi-agent reinforcement learning
par: Suárez, P., et autres
Publié: (2024)
par: Suárez, P., et autres
Publié: (2024)
Analysis and reformulation of the $k$--$ω$ turbulence model for buoyancy-driven thermal convection
par: Joo, Da-Sol
Publié: (2025)
par: Joo, Da-Sol
Publié: (2025)
Elastoinertial turbulence: Data-driven reduced-order model based on manifold dynamics
par: Kumar, Manish, et autres
Publié: (2024)
par: Kumar, Manish, et autres
Publié: (2024)
Minimal model of quasi-cyclic behaviour in turbulence driven by Taylor--Green forcing
par: Araki, Ryo, et autres
Publié: (2021)
par: Araki, Ryo, et autres
Publié: (2021)
Data-driven Koopman operator predictions of turbulent dynamics in models of shear flows
par: Constante-Amores, C. Ricardo, et autres
Publié: (2024)
par: Constante-Amores, C. Ricardo, et autres
Publié: (2024)
Turbulence generation and data assimilation in wall-bounded flows with a latent diffusion model
par: Steinbrenner, Fabian, et autres
Publié: (2026)
par: Steinbrenner, Fabian, et autres
Publié: (2026)
Modelling the transition from shear-driven turbulence to convective turbulence in a vertical heated pipe
par: Chu, Shijun, et autres
Publié: (2025)
par: Chu, Shijun, et autres
Publié: (2025)
Generalizable data-driven turbulence closure modeling on unstructured grids with differentiable physics
par: Kim, Hojin, et autres
Publié: (2023)
par: Kim, Hojin, et autres
Publié: (2023)
Kinetic data-driven approach to turbulence subgrid modeling
par: Ortali, Giulio, et autres
Publié: (2024)
par: Ortali, Giulio, et autres
Publié: (2024)
A unified view of elastic and elasto-inertial turbulence in channel flows at low and moderate Reynolds numbers
par: Rota, Giulio Foggi, et autres
Publié: (2023)
par: Rota, Giulio Foggi, et autres
Publié: (2023)
Universal scaling laws of boundary-driven turbulence
par: Zeng, Yong-Ying, et autres
Publié: (2025)
par: Zeng, Yong-Ying, et autres
Publié: (2025)
Sheared stratified turbulence driven by Kolmogorov flow
par: Sozza, Alessandro, et autres
Publié: (2025)
par: Sozza, Alessandro, et autres
Publié: (2025)
Data-driven enhancement of coherent structure-based models for predicting instantaneous wall turbulence
par: Deshpande, Rahul, et autres
Publié: (2021)
par: Deshpande, Rahul, et autres
Publié: (2021)
Assessment of non-intrusive sensing in wall-bounded turbulence through explainable deep learning
par: Cremades, A., et autres
Publié: (2025)
par: Cremades, A., et autres
Publié: (2025)
Free surfaces in turbulence -- A unified framework from water surfaces to elastic solids
par: Rota, Giulio Foggi, et autres
Publié: (2026)
par: Rota, Giulio Foggi, et autres
Publié: (2026)
Blowup driven by critical balance in a differential kinetic model of gravity wave turbulence
par: Schubring, Daniel, et autres
Publié: (2025)
par: Schubring, Daniel, et autres
Publié: (2025)
Towards large eddy simulations of premixed turbulent flames without a combustion model
par: Lipatnikov, Andrei N.
Publié: (2024)
par: Lipatnikov, Andrei N.
Publié: (2024)
Tailor-designed models for the turbulent velocity gradient through normalizing flow
par: Carbone, Maurizio, et autres
Publié: (2024)
par: Carbone, Maurizio, et autres
Publié: (2024)
Circulation in turbulent flow through a contraction
par: Mugundhan, Vivek, et autres
Publié: (2024)
par: Mugundhan, Vivek, et autres
Publié: (2024)
A unified two-scale gas-liquid multi-fluid model with capillarity and interface regularization through a mass transfer between scales
par: Loison, Arthur, et autres
Publié: (2024)
par: Loison, Arthur, et autres
Publié: (2024)
Data-driven Mori-Zwanzig modeling of Lagrangian particle dynamics in turbulent flows
par: de Wit, Xander, et autres
Publié: (2025)
par: de Wit, Xander, et autres
Publié: (2025)
Documents similaires
-
Data-driven oscillator model for multi-frequency turbulent flows
par: Kim, Youngjae, et autres
Publié: (2026) -
Time-resolving PIV measurements and modal analysis of turbulent flow in a bench-scale hydrodynamic separator
par: Li, Haochen
Publié: (2024) -
Data-driven turbulence modeling
par: Cinnella, Paola
Publié: (2024) -
Physics informed data-driven near-wall modelling for lattice Boltzmann simulation of high Reynolds number turbulent flows
par: Xue, Xiao, et autres
Publié: (2024) -
A unified transition mechanism from shock to detonation waves
par: Yan, Hao, et autres
Publié: (2024)