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

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.

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.

Acknowledgements
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.

Publisher
Wiley

Journal
Computer Graphics Forum

DOI
10.1111/cgf.13191

Additional Links
http://onlinelibrary.wiley.com/doi/10.1111/cgf.13191/abstracthttp://vccvisualization.org/publications/2017_aboulhassan_bhjanalysis.pdf

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