Comparative Visual Analysis of Structure-Performance Relations in Complex Bulk-Heterojunction Morphologies

Handle URI:
http://hdl.handle.net/10754/625657
Title:
Comparative Visual Analysis of Structure-Performance Relations in Complex Bulk-Heterojunction Morphologies
Authors:
Aboulhassan, A.; Sicat, R.; Baum, D.; Wodo, O.; Hadwiger, Markus ( 0000-0003-1239-4871 )
Abstract:
The structure of Bulk-Heterojunction (BHJ) materials, the main component of organic photovoltaic solar cells, is very complex, and the relationship between structure and performance is still largely an open question. Overall, there is a wide spectrum of fabrication configurations resulting in different BHJ morphologies and correspondingly different performances. Current state-of-the-art methods for assessing the performance of BHJ morphologies are either based on global quantification of morphological features or simply on visual inspection of the morphology based on experimental imaging. This makes finding optimal BHJ structures very challenging. Moreover, finding the optimal fabrication parameters to get an optimal structure is still an open question. In this paper, we propose a visual analysis framework to help answer these questions through comparative visualization and parameter space exploration for local morphology features. With our approach, we enable scientists to explore multivariate correlations between local features and performance indicators of BHJ morphologies. Our framework is built on shape-based clustering of local cubical regions of the morphology that we call patches. This enables correlating the features of clusters with intuition-based performance indicators computed from geometrical and topological features of charge paths.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Computer Science Program; Visual Computing Center (VCC)
Citation:
Aboulhassan A, Sicat R, Baum D, Wodo O, Hadwiger M (2017) Comparative Visual Analysis of Structure-Performance Relations in Complex Bulk-Heterojunction Morphologies. Computer Graphics Forum 36: 329–339. Available: http://dx.doi.org/10.1111/cgf.13191.
Publisher:
Wiley-Blackwell
Journal:
Computer Graphics Forum
Issue Date:
4-Jul-2017
DOI:
10.1111/cgf.13191
Type:
Article
ISSN:
0167-7055
Sponsors:
This work was supported in part by King Abdullah University of Science and Technology (KAUST). The fourth author was supported in part by KAUST Global Collaborative Research: CRG-1-2012-THO-015-ISU, and by the Center for Computational Research at the University at Buffalo.
Additional Links:
http://onlinelibrary.wiley.com/doi/10.1111/cgf.13191/abstract; http://vccvisualization.org/publications/2017_aboulhassan_bhjanalysis.pdf
Appears in Collections:
Articles; Computer Science Program; Visual Computing Center (VCC); Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorAboulhassan, A.en
dc.contributor.authorSicat, R.en
dc.contributor.authorBaum, D.en
dc.contributor.authorWodo, O.en
dc.contributor.authorHadwiger, Markusen
dc.date.accessioned2017-10-03T12:49:32Z-
dc.date.available2017-10-03T12:49:32Z-
dc.date.issued2017-07-04en
dc.identifier.citationAboulhassan A, Sicat R, Baum D, Wodo O, Hadwiger M (2017) Comparative Visual Analysis of Structure-Performance Relations in Complex Bulk-Heterojunction Morphologies. Computer Graphics Forum 36: 329–339. Available: http://dx.doi.org/10.1111/cgf.13191.en
dc.identifier.issn0167-7055en
dc.identifier.doi10.1111/cgf.13191en
dc.identifier.urihttp://hdl.handle.net/10754/625657-
dc.description.abstractThe structure of Bulk-Heterojunction (BHJ) materials, the main component of organic photovoltaic solar cells, is very complex, and the relationship between structure and performance is still largely an open question. Overall, there is a wide spectrum of fabrication configurations resulting in different BHJ morphologies and correspondingly different performances. Current state-of-the-art methods for assessing the performance of BHJ morphologies are either based on global quantification of morphological features or simply on visual inspection of the morphology based on experimental imaging. This makes finding optimal BHJ structures very challenging. Moreover, finding the optimal fabrication parameters to get an optimal structure is still an open question. In this paper, we propose a visual analysis framework to help answer these questions through comparative visualization and parameter space exploration for local morphology features. With our approach, we enable scientists to explore multivariate correlations between local features and performance indicators of BHJ morphologies. Our framework is built on shape-based clustering of local cubical regions of the morphology that we call patches. This enables correlating the features of clusters with intuition-based performance indicators computed from geometrical and topological features of charge paths.en
dc.description.sponsorshipThis work was supported in part by King Abdullah University of Science and Technology (KAUST). The fourth author was supported in part by KAUST Global Collaborative Research: CRG-1-2012-THO-015-ISU, and by the Center for Computational Research at the University at Buffalo.en
dc.publisherWiley-Blackwellen
dc.relation.urlhttp://onlinelibrary.wiley.com/doi/10.1111/cgf.13191/abstracten
dc.relation.urlhttp://vccvisualization.org/publications/2017_aboulhassan_bhjanalysis.pdf-
dc.rightsThis is the peer reviewed version of the following article: Comparative Visual Analysis of Structure-Performance Relations in Complex Bulk-Heterojunction Morphologies, which has been published in final form at http://doi.org/10.1111/cgf.13191. This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.en
dc.titleComparative Visual Analysis of Structure-Performance Relations in Complex Bulk-Heterojunction Morphologiesen
dc.typeArticleen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentComputer Science Programen
dc.contributor.departmentVisual Computing Center (VCC)en
dc.identifier.journalComputer Graphics Forumen
dc.eprint.versionPost-printen
dc.contributor.institutionHarvard University Cambridge; USAen
dc.contributor.institutionZuse Institute Berlin (ZIB) Berlin; Germanyen
dc.contributor.institutionSUNY at Buffalo Buffalo; USAen
kaust.authorAboulhassan, A.en
kaust.authorHadwiger, Markusen
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