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dc.contributor.authorAnand, Shashank Kumar
dc.contributor.authorHooshyar, Milad
dc.contributor.authorNordbotten, Jan Martin
dc.contributor.authorPorporato, Amilcare
dc.date.accessioned2022-04-21T12:13:43Z
dc.date.available2022-04-21T12:13:43Z
dc.date.created2021-09-06T15:51:27Z
dc.date.issued2021
dc.identifier.issn2054-5703
dc.identifier.urihttps://hdl.handle.net/11250/2992007
dc.description.abstractNumerous complex systems, both natural and artificial, are characterized by the presence of intertwined supply and/or drainage networks. Here, we present a minimalist model of such coevolving networks in a spatially continuous domain, where the obtained networks can be interpreted as a part of either the counter-flowing drainage or co-flowing supply and drainage mechanisms. The model consists of three coupled, nonlinear partial differential equations that describe spatial density patterns of input and output materials by modifying a mediating scalar field, on which supply and drainage networks are carved. In the two-dimensional case, the scalar field can be viewed as the elevation of a hypothetical landscape, of which supply and drainage networks are ridges and valleys, respectively. In the three-dimensional case, the scalar field serves the role of a chemical signal, according to which vascularization of the supply and drainage networks occurs above a critical ‘erosion’ strength. The steady-state solutions are presented as a function of non-dimensional channelization indices for both materials. The spatial patterns of the emerging networks are classified within the branched and congested extreme regimes, within which the resulting networks are characterized based on the absolute as well as the relative values of two non-dimensional indices.en_US
dc.language.isoengen_US
dc.publisherThe Royal Societyen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleA minimalist model for coevolving supply and drainage networksen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright 2021 the authorsen_US
dc.source.articlenumber201407en_US
cristin.ispublishedtrue
cristin.fulltextpreprint
cristin.qualitycode1
dc.identifier.doi10.1098/rsos.201407
dc.identifier.cristin1931725
dc.source.journalRoyal Society Open Scienceen_US
dc.identifier.citationRoyal Society Open Science. 2021, 8 (2), 201407.en_US
dc.source.volume8en_US
dc.source.issue2en_US


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