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Photocarrier drift distance in organic solar cells and photodetectors

Overview of attention for article published in Scientific Reports, April 2015
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Title
Photocarrier drift distance in organic solar cells and photodetectors
Published in
Scientific Reports, April 2015
DOI 10.1038/srep09949
Pubmed ID
Authors

Martin Stolterfoht, Ardalan Armin, Bronson Philippa, Ronald D. White, Paul L. Burn, Paul Meredith, Gytis Juška, Almantas Pivrikas

Abstract

Light harvesting systems based upon disordered materials are not only widespread in nature, but are also increasingly prevalent in solar cells and photodetectors. Examples include organic semiconductors, which typically possess low charge carrier mobilities and Langevin-type recombination dynamics - both of which negatively impact the device performance. It is accepted wisdom that the "drift distance" (i.e., the distance a photocarrier drifts before recombination) is defined by the mobility-lifetime product in solar cells. We demonstrate that this traditional figure of merit is inadequate for describing the charge transport physics of organic light harvesting systems. It is experimentally shown that the onset of the photocarrier recombination is determined by the electrode charge and we propose the mobility-recombination coefficient product as an alternative figure of merit. The implications of these findings are relevant to a wide range of light harvesting systems and will necessitate a rethink of the critical parameters of charge transport.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 5 4%
Japan 1 <1%
France 1 <1%
Belgium 1 <1%
Unknown 120 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 37 29%
Researcher 23 18%
Student > Master 12 9%
Student > Bachelor 9 7%
Professor 6 5%
Other 22 17%
Unknown 19 15%
Readers by discipline Count As %
Materials Science 33 26%
Physics and Astronomy 30 23%
Engineering 15 12%
Chemistry 11 9%
Energy 4 3%
Other 10 8%
Unknown 25 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 April 2015.
All research outputs
#17,754,724
of 22,800,560 outputs
Outputs from Scientific Reports
#86,899
of 123,081 outputs
Outputs of similar age
#180,028
of 264,516 outputs
Outputs of similar age from Scientific Reports
#984
of 1,408 outputs
Altmetric has tracked 22,800,560 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 123,081 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.2. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 264,516 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,408 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.