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CO2 Capture and Separation from N2/CH4 Mixtures by Co@B8/Co@B8 – and M@B9/M@B9 – (M = Ir, Rh, Ru) Clusters: A Theoretical Study

Overview of attention for article published in Journal of Physical Chemistry A, January 2015
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Title
CO2 Capture and Separation from N2/CH4 Mixtures by Co@B8/Co@B8 – and M@B9/M@B9 – (M = Ir, Rh, Ru) Clusters: A Theoretical Study
Published in
Journal of Physical Chemistry A, January 2015
DOI 10.1021/jp511669w
Pubmed ID
Authors

Weihua Wang, Xiaoxiao Zhang, Ping Li, Qiao Sun, Zhen Li, Cong Ren, Chao Guo

Abstract

The discovery of advanced materials with high selectivity and efficiency is essential to realize practical carbon capture and sequestration. Here, we have investigated the interactions of the Co@B8/Co@B8(-) and M@B9/M@B9(-) (M = Ir, Rh, Ru) clusters with CO2, N2, and CH4 gas molecules theoretically. We found that neutral boron clusters have weak interaction with CO2, N2, and CH4 molecules. Similarly, the clusters with their negative charge states have also weak interaction with N2 and CH4 molecules. However, anionic clusters have a strong interaction with CO2, which can be explained by the Lewis acid-base interaction as CO2 (Lewis acid) can gain electron easily from the electron-rich anionic clusters. Moreover, the kinetic stability of the formed complexes after CO2 capture has been validated by ab initio molecular dynamics. In all, the present study demonstrates, for the first time, that the anionic boron wheel ring clusters can be used as potential advanced materials for CO2 capture and separation from flue gas and natural gas mixtures.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 33%
Researcher 2 22%
Student > Doctoral Student 1 11%
Student > Master 1 11%
Other 1 11%
Other 0 0%
Unknown 1 11%
Readers by discipline Count As %
Chemistry 3 33%
Computer Science 1 11%
Agricultural and Biological Sciences 1 11%
Decision Sciences 1 11%
Materials Science 1 11%
Other 0 0%
Unknown 2 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 17 January 2015.
All research outputs
#15,983,785
of 25,377,790 outputs
Outputs from Journal of Physical Chemistry A
#3,927
of 10,495 outputs
Outputs of similar age
#198,915
of 360,084 outputs
Outputs of similar age from Journal of Physical Chemistry A
#36
of 169 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,495 research outputs from this source. They receive a mean Attention Score of 2.4. This one has gotten more attention than average, scoring higher than 62% 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 360,084 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 169 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.