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Shake-The-Box: Lagrangian particle tracking at high particle image densities

Experiments in fluids, 2016-05, Vol.57 (5), Article 70

2016

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Superhydrophobic drag reduction in laminar flows: a critical review

Experiments in fluids, 2016-12, Vol.57 (12), p.1-20, Article 176

2016

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Characterizing and correcting for the effect of sensor noise in the dynamic mode decomposition

Experiments in fluids, 2016-03, Vol.57 (3), Article 42

2016

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Background-oriented schlieren (BOS) techniques

Experiments in fluids, 2015-03, Vol.56 (3), Article 60

Raffel, Markus

2015

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De-biasing the dynamic mode decomposition for applied Koopman spectral analysis of noisy datasets

Theoretical and computational fluid dynamics, 2017-08, Vol.31 (4), p.349-368

2017

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From drop impact physics to spray cooling models: a critical review

Experiments in fluids, 2018-03, Vol.59 (3), p.1-21, Article 55

2018

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The Lattice Boltzmann Method: Principles and Practice

1, 2016

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Assessment of supervised machine learning methods for fluid flows

Theoretical and computational fluid dynamics, 2020-08, Vol.34 (4), p.497-519

2020

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Discovery of Algebraic Reynolds-Stress Models Using Sparse Symbolic Regression

Flow, turbulence and combustion, 2020-03, Vol.104 (2-3), p.579-603

2020

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Physics-informed neural networks (PINNs) for fluid mechanics: a review

Acta mechanica Sinica, 2021-12, Vol.37 (12), p.1727-1738

English ed., 2021

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Superhydrophobic drag reduction in turbulent flows: a critical review

Experiments in fluids, 2021-11, Vol.62 (11), Article 229

2021

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Mind the gap: a new insight into the tip leakage vortex using stereo-PIV

Experiments in fluids, 2014-11, Vol.55 (11), p.1-13, Article 1849

2014

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A One-Equation Local Correlation-Based Transition Model

Flow, turbulence and combustion, 2015-12, Vol.95 (4), p.583-619

2015

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Applications of the dynamic mode decomposition

Theoretical and computational fluid dynamics, 2011-06, Vol.25 (1-4), p.249-259

2011

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Main results of the 4th International PIV Challenge

Experiments in fluids, 2016-06, Vol.57 (6), Article 97

2016

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Visualization of sneeze ejecta: steps of fluid fragmentation leading to respiratory droplets

Experiments in fluids, 2016, Vol.57 (2), p.24-24, Article 24

2016

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Electrical and mechanical characteristics of surface AC dielectric barrier discharge plasma actuators applied to airflow control

Experiments in fluids, 2014-11, Vol.55 (11), p.1-43, Article 1846

2014

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The onset of dynamic stall revisited

Experiments in fluids, 2012-03, Vol.52 (3), p.779-793

2012

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Ultrasound Imaging Velocimetry: a review

Experiments in fluids, 2017, Vol.58 (1), p.1-28, Article 3

Poelma, Christian

2017

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Screech-tone prediction using upstream-travelling jet modes

Experiments in fluids, 2019, Vol.60 (1), p.1-9, Article 22

2019

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Dense motion estimation of particle images via a convolutional neural network

Experiments in fluids, 2019-04, Vol.60 (4), p.1-16, Article 73

2019

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Application of the dynamic mode decomposition to experimental data

Experiments in fluids, 2011-04, Vol.50 (4), p.1123-1130

Schmid, Peter J.

2011

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Introduction of MMG standard method for ship maneuvering predictions

Journal of marine science and technology, 2015-03, Vol.20 (1), p.37-52

2015

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The State of the Art of Hybrid RANS/LES Modeling for the Simulation of Turbulent Flows

Flow, turbulence and combustion, 2017, Vol.99 (2), p.279-327

Chaouat, Bruno

2017

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Flow dynamics and sediment transport in vegetated rivers: A review

Journal of hydrodynamics. Series B, 2021-06, Vol.33 (3), p.400-420

2021

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Shake-The-Box: Lagrangian particle tracking at high particle image densities

Superhydrophobic drag reduction in laminar flows: a critical review

Characterizing and correcting for the effect of sensor noise in the dynamic mode decomposition

Background-oriented schlieren (BOS) techniques

De-biasing the dynamic mode decomposition for applied Koopman spectral analysis of noisy datasets

From drop impact physics to spray cooling models: a critical review

The Lattice Boltzmann Method: Principles and Practice

Assessment of supervised machine learning methods for fluid flows

Discovery of Algebraic Reynolds-Stress Models Using Sparse Symbolic Regression

Physics-informed neural networks (PINNs) for fluid mechanics: a review

Superhydrophobic drag reduction in turbulent flows: a critical review

Mind the gap: a new insight into the tip leakage vortex using stereo-PIV

A One-Equation Local Correlation-Based Transition Model

Applications of the dynamic mode decomposition

Main results of the 4th International PIV Challenge

Visualization of sneeze ejecta: steps of fluid fragmentation leading to respiratory droplets

Electrical and mechanical characteristics of surface AC dielectric barrier discharge plasma actuators applied to airflow control

The onset of dynamic stall revisited

Ultrasound Imaging Velocimetry: a review

Screech-tone prediction using upstream-travelling jet modes

Dense motion estimation of particle images via a convolutional neural network

Application of the dynamic mode decomposition to experimental data

Introduction of MMG standard method for ship maneuvering predictions

The State of the Art of Hybrid RANS/LES Modeling for the Simulation of Turbulent Flows

Flow dynamics and sediment transport in vegetated rivers: A review

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