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Visual analysis of charge flow networks for complex morphologies

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dc.creatorKottravel, S.spa
dc.creatorFalk, M.spa
dc.creatorMasood, T. Binspa
dc.creatorLinares, Mauriciospa
dc.creatorHotz, I.spa
dc.date.accessioned2020-08-19T14:41:20Z
dc.date.available2020-08-19T14:41:20Z
dc.date.created2019-07-10spa
dc.description.abstractIn the field of organic electronics, understanding complex material morphologies and their role in efficient charge transport in solar cells is extremely important. Related processes are studied using the Ising model and Kinetic Monte Carlo simulations resulting in large ensembles of stochastic trajectories. Naive visualization of these trajectories, individually or as a whole, does not lead to new knowledge discovery through exploration. In this paper, we present novel visualization and exploration methods to analyze this complex dynamic data, which provide succinct and meaningful abstractions leading to scientific insights. We propose a morphology abstraction yielding a network composed of material pockets and the interfaces, which serves as backbone for the visualization of the charge diffusion. The trajectory network is created using a novel way of implicitly attracting the trajectories to the skeleton of the morphology relying on a relaxation process. Each individual trajectory is then represented as a connected sequence of nodes in the skeleton. The final network summarizes all of these sequences in a single aggregated network. We apply our method to three different morphologies and demonstrate its suitability for exploring this kind of data.eng
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.1111/cgf.13704
dc.identifier.issnISSN: 0167-7055
dc.identifier.issnEISSN: 1467-8659
dc.identifier.urihttps://repository.urosario.edu.co/handle/10336/27203
dc.language.isoengspa
dc.publisherThe Eurographics Associationspa
dc.publisherJohn Wiley & Sonsspa
dc.relation.citationEndPage489
dc.relation.citationIssueNo. 3
dc.relation.citationStartPage479
dc.relation.citationTitleComputer Graphics Forum
dc.relation.citationVolumeVol. 38
dc.relation.ispartofComputer Graphics Forum, ISSN: 0167-7055;EISSN: 1467-8659, Vol.38, No.3 (June 2019); pp. 479-489spa
dc.relation.urihttps://onlinelibrary.wiley.com/doi/epdf/10.1111/cgf.13704spa
dc.rights.accesRightsinfo:eu-repo/semantics/restrictedAccess
dc.rights.accesoRestringido (Acceso a grupos específicos)spa
dc.sourceComputer Graphics Forumspa
dc.source.instnameinstname:Universidad del Rosario
dc.source.reponamereponame:Repositorio Institucional EdocUR
dc.subject.keywordCCS Conceptsspa
dc.subject.keywordHuman?centered computingspa
dc.subject.keywordScientific visualizationspa
dc.subject.keywordComputing methodologiesspa
dc.subject.keywordDiscrete?event simulationspa
dc.subject.keywordApplied computingspa
dc.subject.keywordPhysical sciences and engineeringspa
dc.titleVisual analysis of charge flow networks for complex morphologiesspa
dc.title.TranslatedTitleAnálisis visual de redes de flujo de carga para morfologías complejasspa
dc.typearticleeng
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion
dc.type.spaArtículospa
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