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Super-resolution reconstruction of turbulent flows with machine learning

Journal of fluid mechanics, 2019-07, Vol.870, p.106-120

2019

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Spectral proper orthogonal decomposition and its relationship to dynamic mode decomposition and resolvent analysis

Journal of fluid mechanics, 2018-07, Vol.847, p.821-867

2018

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Machine-learning-based spatio-temporal super resolution reconstruction of turbulent flows

Journal of fluid mechanics, 2021-02, Vol.909, Article A9

2021

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Artificial neural networks trained through deep reinforcement learning discover control strategies for active flow control

Journal of fluid mechanics, 2019-04, Vol.865, p.281-302

2019

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Unsupervised deep learning for super-resolution reconstruction of turbulence

Journal of fluid mechanics, 2021-01, Vol.910, Article A29

2021

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Flow over an espresso cup: inferring 3-D velocity and pressure fields from tomographic background oriented Schlieren via physics-informed neural networks

Journal of fluid mechanics, 2021-03, Vol.915, Article A102

2021

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Subgrid modelling for two-dimensional turbulence using neural networks

Journal of fluid mechanics, 2019-01, Vol.858, p.122-144

2019

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Spectral analysis of jet turbulence

Journal of fluid mechanics, 2018-11, Vol.855, p.953-982

2018

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Constrained sparse Galerkin regression

Journal of fluid mechanics, 2018-03, Vol.838, p.42-67

2018

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Convolutional-network models to predict wall-bounded turbulence from wall quantities

Journal of fluid mechanics, 2021-12, Vol.928, Article A27

2021

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On the over-production of turbulence beneath surface waves in Reynolds-averaged Navier–Stokes models

Journal of fluid mechanics, 2018-10, Vol.853, p.419-460

2018

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Sparse reduced-order modelling: sensor-based dynamics to full-state estimation

Journal of fluid mechanics, 2018-06, Vol.844, p.459-490

2018

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Reynolds-averaged Navier–Stokes equations with explicit data-driven Reynolds stress closure can be ill-conditioned

Journal of fluid mechanics, 2019-06, Vol.869, p.553-586

2019

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Importance of the nozzle-exit boundary-layer state in subsonic turbulent jets

Journal of fluid mechanics, 2018-09, Vol.851, p.83-124

2018

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Resolvent-analysis-based design of airfoil separation control

Journal of fluid mechanics, 2019-05, Vol.867, p.572-610

2019

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Spectral analysis of the budget equation in turbulent channel flows at high Reynolds number

Journal of fluid mechanics, 2019-02, Vol.860, p.886-938

2019

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Experimental study of inertial particles clustering and settling in homogeneous turbulence

Journal of fluid mechanics, 2019-04, Vol.864, p.925-970

2019

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Trailing-edge flow and noise control using porous treatments

Journal of fluid mechanics, 2018-09, Vol.850, p.83-119

2018

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Multi-scale proper orthogonal decomposition of complex fluid flows

Journal of fluid mechanics, 2019-07, Vol.870, p.988-1036

2019

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Can vortex criteria be objectivized?

Journal of fluid mechanics, 2021-02, Vol.908, Article A25

Haller, George

2021

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Interaction of cavitation bubbles with the interface of two immiscible fluids on multiple time scales

Journal of fluid mechanics, 2022-02, Vol.932, Article A8

2022

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Ice breaking by a collapsing bubble

Journal of fluid mechanics, 2018-04, Vol.841, p.287-309

2018

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Robust flow control and optimal sensor placement using deep reinforcement learning

Journal of fluid mechanics, 2021-02, Vol.913, Article A25

2021

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Shock induced aerobreakup of a droplet

Journal of fluid mechanics, 2021-12, Vol.929, Article A27

2021

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Direct numerical simulations of hypersonic boundary-layer transition for a flared cone: fundamental breakdown

Journal of fluid mechanics, 2019-06, Vol.869, p.341-384

2019

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Super-resolution reconstruction of turbulent flows with machine learning

Spectral proper orthogonal decomposition and its relationship to dynamic mode decomposition and resolvent analysis

Machine-learning-based spatio-temporal super resolution reconstruction of turbulent flows

Artificial neural networks trained through deep reinforcement learning discover control strategies for active flow control

Unsupervised deep learning for super-resolution reconstruction of turbulence

Flow over an espresso cup: inferring 3-D velocity and pressure fields from tomographic background oriented Schlieren via physics-informed neural networks

Subgrid modelling for two-dimensional turbulence using neural networks

Spectral analysis of jet turbulence

Constrained sparse Galerkin regression

Convolutional-network models to predict wall-bounded turbulence from wall quantities

On the over-production of turbulence beneath surface waves in Reynolds-averaged Navier–Stokes models

Sparse reduced-order modelling: sensor-based dynamics to full-state estimation

Reynolds-averaged Navier–Stokes equations with explicit data-driven Reynolds stress closure can be ill-conditioned

Importance of the nozzle-exit boundary-layer state in subsonic turbulent jets

Resolvent-analysis-based design of airfoil separation control

Spectral analysis of the budget equation in turbulent channel flows at high Reynolds number

Experimental study of inertial particles clustering and settling in homogeneous turbulence

Trailing-edge flow and noise control using porous treatments

Multi-scale proper orthogonal decomposition of complex fluid flows

Can vortex criteria be objectivized?

Interaction of cavitation bubbles with the interface of two immiscible fluids on multiple time scales

Ice breaking by a collapsing bubble

Robust flow control and optimal sensor placement using deep reinforcement learning

Shock induced aerobreakup of a droplet

Direct numerical simulations of hypersonic boundary-layer transition for a flared cone: fundamental breakdown

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