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Journal Article

Recurrence networks from multivariate signals for uncovering dynamic transitions of horizontal oil-water stratified flows

Authors

Gao,  Z.-K.
Potsdam Institute for Climate Impact Research and Cooperation Partners;

Zhang,  X.-W.
Potsdam Institute for Climate Impact Research and Cooperation Partners;

Jin,  N.-D.
Potsdam Institute for Climate Impact Research and Cooperation Partners;

/persons/resource/Reik.Donner

Donner,  Reik V.
Potsdam Institute for Climate Impact Research;

/persons/resource/Marwan

Marwan,  Norbert
Potsdam Institute for Climate Impact Research;

/persons/resource/Juergen.Kurths

Kurths,  Jürgen
Potsdam Institute for Climate Impact Research;

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Citation

Gao, Z.-K., Zhang, X.-W., Jin, N.-D., Donner, R. V., Marwan, N., Kurths, J. (2013): Recurrence networks from multivariate signals for uncovering dynamic transitions of horizontal oil-water stratified flows. - Europhysics Letters (epl), 103, 50004.
https://doi.org/10.1209/0295-5075/103/50004


Cite as: https://publications.pik-potsdam.de/pubman/item/item_18865
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