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Opportunities and challenges in probing local composition of organic material blends for photovoltaics
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Engineering and Physics.
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Engineering and Physics.
Centre for Organic Electronics, University of Newcastle, Callaghan, NSW 2308, Australia.
Karlstad University, Faculty of Health, Science and Technology (starting 2013), Department of Engineering and Physics.
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2017 (English)In: Journal of Materials Research, ISSN 0884-2914, E-ISSN 2044-5326, Vol. 32, no 10, 1982-1992 p.Article in journal (Refereed) Published
Abstract [en]

Probing the distribution of donor and acceptor molecules in the active layer of polymer solar cells requires high-resolution methods that provide chemical contrast. A combination of the synchrotron-based soft X-ray technique near-edge X-ray absorption fine structure (NEXAFS) spectroscopy and scanning transmission X-ray microscopy (STXM) can map surface composition and local composition in lateral phase-separated domains, as well as identify molecular signatures of degradation. Here we illustrate, by way of selected results, the relevance of these complementary techniques to the field of organic photovoltaics. We demonstrate firstly that the determination of local composition from X-ray absorption spectra requires cautious use of fitting techniques. Furthermore, we show that drop-like clusters of PC70BM formed during the transfer of spin-coated polymer:PC70BM blend films onto Cu-grids lead to an underestimation of PC70BM/polymer concentration ratios. Finally, we show that the selective degradation of one of the components can impair the accurate determination of local blend composition.

Place, publisher, year, edition, pages
Cambridge University Press, 2017. Vol. 32, no 10, 1982-1992 p.
Keyword [en]
polymer; photovoltaic; morphology
National Category
Condensed Matter Physics
Research subject
Physics
Identifiers
URN: urn:nbn:se:kau:diva-64421DOI: 10.1557/jmr.2017.7OAI: oai:DiVA.org:kau-64421DiVA: diva2:1146015
Available from: 2017-10-01 Created: 2017-10-01 Last updated: 2017-10-05Bibliographically approved

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CiteExportLink to record
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