Description of the morphology dependent charge transport and performance of polymer:fullerene bulk heterojunction solar cells

We present a combined numerical charge transport and morphology model to describe the current density-voltage (j-V) characteristics of three different, benchmark polymer:fullerene bulk heterojunction organic solar cells in which the device performance critically depends on the processing conditions...

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Main Authors: Maturová, Klára (Author) , Bavel, Svetlana S. van (Author) , Wienk, Martinus Maria (Author) , Janssen, René A. J. (Author) , Kemerink, Martijn (Author)
Format: Article (Journal)
Language:English
Published: 2011
In: Advanced functional materials
Year: 2010, Volume: 21, Issue: 2, Pages: 261-269
ISSN:1616-3028
DOI:10.1002/adfm.201001515
Online Access:Verlag, Volltext: https://doi.org/10.1002/adfm.201001515
Verlag, Volltext: https://onlinelibrary.wiley.com/doi/abs/10.1002/adfm.201001515
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Author Notes:Klára Maturová, Svetlana S. van Bavel, Martijn M. Wienk, René A.J. Janssen, and Martijn Kemerink
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Summary:We present a combined numerical charge transport and morphology model to describe the current density-voltage (j-V) characteristics of three different, benchmark polymer:fullerene bulk heterojunction organic solar cells in which the device performance critically depends on the processing conditions or composition of the active layer. We find that an accurate description of the j-V characteristics over a broad bias range can be obtained when the actual complex, three-dimensional (3D) phase separation is represented by a simplified 2D or even 1D description. The morphological device model allows predicting the potential for increasing device performance by further optimizing the morphology. The optimal simplified morphology consists of two, relatively thin alternating vertically oriented slabs, that allow for fast lateral separation of photocreated holes and electrons. This morphology can effectively be described as 1D.
Item Description:First published: 09 November 2010
Gesehen am 17.12.2019
Physical Description:Online Resource
ISSN:1616-3028
DOI:10.1002/adfm.201001515