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Electron injection and scaffold effects in perovskite solar cells

Overview of attention for article published in Journal of Materials Chemistry C: Materials for optical and electronic devices, January 2017
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  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

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Article details
Title
Electron injection and scaffold effects in perovskite solar cells
Published in
Journal of Materials Chemistry C: Materials for optical and electronic devices, January 2017
DOI 10.1039/c6tc04639h
Pubmed ID
Authors
Abstract

In spite of the impressive efficiencies reported for perovskite solar cells (PSCs), key aspects of their working principles, such as electron injection at the contacts or the suitability of the utilization of a specific scaffold layer, are not yet fully understood. Increasingly complex scaffolds attained by the sequential deposition of TiO2 and SiO2 mesoporous layers onto transparent conducting substrates are used to perform a systematic characterization of both the injection process at the electron selective contact and the scaffold effect in PSCs. By forcing multiple electron injection processes at a controlled sequence of perovskite-TiO2 interfaces before extraction, interfacial injection effects are magnified and hence characterized in detail. An anomalous injection behavior is observed, the fingerprint of which is the presence of significant inductive loops in the impedance spectra with a magnitude that correlates with the number of interfaces in the scaffold. Analysis of the resistive and capacitive behavior of the impedance spectra indicates that the scaffolds could hinder ion migration, with positive consequences such as lowering the recombination rate and implications for the current-potential curve hysteresis. Our results suggest that an appropriate balance between these advantageous effects and the unavoidable charge transport resistive losses introduced by the scaffolds will help in the optimization of PSC performance.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
India 1 1%
United Kingdom 1 1%
Unknown 92 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 29 31%
Researcher 19 20%
Student > Master 10 11%
Professor > Associate Professor 4 4%
Student > Bachelor 3 3%
Other 7 7%
Unknown 22 23%
Readers by discipline
Readers by discipline Count As %
Materials Science 24 26%
Chemistry 13 14%
Engineering 11 12%
Physics and Astronomy 9 10%
Energy 8 9%
Other 7 7%
Unknown 22 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 31 March 2017.
All research outputs
#11,459,216
of 34,364,397 outputs
Outputs from Journal of Materials Chemistry C: Materials for optical and electronic devices
#1,963
of 12,027 outputs
Outputs of similar age
#152,461
of 462,437 outputs
Outputs of similar age from Journal of Materials Chemistry C: Materials for optical and electronic devices
#193
of 1,023 outputs
Altmetric has tracked 34,364,397 research outputs across all sources so far. This one has received more attention than most of these and is in the 65th percentile.
So far Altmetric has tracked 12,027 research outputs from this source. They receive a mean Attention Score of 2.5. This one has done well, scoring higher than 77% of its peers.
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 462,437 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 1,023 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.