Citing Articles For: Application of a self-organizing map to identify the turbulent-boundary-layer interface in a transitional flow

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Articles Citing

Application of a self-organizing map to identify the turbulent-boundary-layer interface in a transitional flow

The instantaneous structure of a turbulent wall-bounded flow influenced by freestream turbulence: streamwise evolution

Detection of the irrotational boundary using machine learning methods

Outer-layer self-similarity of the turbulent boundary layer based on the turbulent/non-turbulent interface

Toward a robust detection of viscous and turbulent flow regions using unsupervised machine learning

A wall model learned from the periodic hill data and the law of the wall

Outer-layer coherent structures from the turbulent/non-turbulent interface perspective at moderate Reynolds number

Assessment of implicit LES modelling for bypass transition of a boundary layer

New Insights into Turbulent Spots

No title available

No title available

No title available

The dynamics of an axisymmetric turbulent jet in ambient turbulence interpreted from the passive scalar field statistics

Visibility analysis of boundary layer transition

Origin of enhanced skin friction at the onset of boundary-layer transition

Inferring turbulent environments via machine learning

A robust super-resolution reconstruction model of turbulent flow data based on deep learning

Machine learning for reliability engineering and safety applications: Review of current status and future opportunities

Data-driven modeling for unsteady aerodynamics and aeroelasticity

Mechanisms of entrainment in a turbulent boundary layer

Large eddy simulation of transitional channel flow using a machine learning classifier to distinguish laminar and turbulent regions

Unsupervised modelling of a transitional boundary layer

A novel and robust method for the turbulent/non-turbulent interface detection

No title available

High-Reynolds-number fractal signature of nascent turbulence during transition

Using machine learning to detect the turbulent region in flow past a circular cylinder

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