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Modelling materials for solar fuel synthesis by artificial photosynthesis; predicting the optical, electronic and redox properties of photocatalysts

Overview of attention for article published in Journal of Physics: Condensed Matter, January 2016
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  • Good Attention Score compared to outputs of the same age (76th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

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Citations

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14 Dimensions

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52 Mendeley
Title
Modelling materials for solar fuel synthesis by artificial photosynthesis; predicting the optical, electronic and redox properties of photocatalysts
Published in
Journal of Physics: Condensed Matter, January 2016
DOI 10.1088/0953-8984/28/7/074001
Pubmed ID
Authors

Pierre Guiglion, Enrico Berardo, Cristina Butchosa, Milena C C Wobbe, Martijn A Zwijnenburg

Abstract

In this mini-review, we discuss what insight computational modelling can provide into the working of photocatalysts for solar fuel synthesis and how calculations can be used to screen for new promising materials for photocatalytic water splitting and carbon dioxide reduction. We will extensively discuss the different relevant (material) properties and the computational approaches (DFT, TD-DFT, GW/BSE) available to model them. We illustrate this with examples from the literature, focussing on polymeric and nanoparticle photocatalysts. We finish with a perspective on the outstanding conceptual and computational challenges.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Saudi Arabia 2 4%
Germany 1 2%
United Kingdom 1 2%
Unknown 48 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 25%
Researcher 10 19%
Student > Master 7 13%
Student > Bachelor 4 8%
Student > Postgraduate 4 8%
Other 11 21%
Unknown 3 6%
Readers by discipline Count As %
Chemistry 27 52%
Materials Science 7 13%
Engineering 4 8%
Physics and Astronomy 3 6%
Chemical Engineering 3 6%
Other 1 2%
Unknown 7 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 13 February 2017.
All research outputs
#6,632,542
of 26,061,338 outputs
Outputs from Journal of Physics: Condensed Matter
#521
of 6,241 outputs
Outputs of similar age
#97,056
of 408,975 outputs
Outputs of similar age from Journal of Physics: Condensed Matter
#5
of 100 outputs
Altmetric has tracked 26,061,338 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 6,241 research outputs from this source. They receive a mean Attention Score of 2.0. This one has done particularly well, scoring higher than 91% 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 408,975 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 100 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.