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

Gao, Z.-K.; Zhang, X.-W.; Jin, N.-D.; Donner, Reik V.; Marwan, Norbert; Kurths, Jürgen

doi:10.1209/0295-5075/103/50004

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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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引用

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). doi:10.1209/0295-5075/103/50004.

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

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