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  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, 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

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Item Permalink: https://publications.pik-potsdam.de/pubman/item/item_18865 Version Permalink: https://publications.pik-potsdam.de/pubman/item/item_18865_2
Genre: Journal Article

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 Creators:
Gao, Z.-K.1, Author
Zhang, X.-W.1, Author
Jin, N.-D.1, Author
Donner, Reik V.2, Author              
Marwan, Norbert2, Author              
Kurths, Jürgen2, Author              
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1Potsdam Institute for Climate Impact Research and Cooperation Partners, ou_persistent13              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Dates: 2013
 Publication Status: Finally published
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 Rev. Type: -
 Identifiers: DOI: 10.1209/0295-5075/103/50004
PIKDOMAIN: Transdisciplinary Concepts & Methods - Research Domain IV
eDoc: 6041
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Title: Europhysics Letters (epl)
Source Genre: Journal
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Pages: - Volume / Issue: 103 (50004) Sequence Number: - Start / End Page: - Identifier: -