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Using Implicit Solvent in Ab Initio Electrochemical Modeling: Investigating Li+/Li Electrochemistry at a Li/Solvent Interface

Overview of attention for article published in Journal of Chemical Theory and Computation, June 2015
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  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

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Article details
Title
Using Implicit Solvent in Ab Initio Electrochemical Modeling: Investigating Li+/Li Electrochemistry at a Li/Solvent Interface
Published in
Journal of Chemical Theory and Computation, June 2015
DOI 10.1021/acs.jctc.5b00170
Pubmed ID
Authors
Abstract

This paper focuses on the use of implicit solvent in electrochemical density functional theory (DFT) calculations. We investigate both the necessity and limits of an implicit solvent polarizable continuum model (PCM). In order to recover the proper electrochemical behavior of the surface and, in particular, a proper potential scale, the solvent model is determined to be mandatory: in the limit of a high dielectric constant, the surface capacitance becomes independent of the interslab space used in the model and, therefore, the electrochemical properties become intrinsic of the interface structure. We show that the computed surface capacitance is not only dependent on the implicit solvent dielectric constant, but also on the solvent cavity parameter that should be precisely tuned. This model is then applied to the Li/electrolyte interface in order to check its ability to compute thermodynamic equilibrium properties. The use of a purely implicit solvent approach allows the recovery of a more reasonable equilibrium potential for the Li(+)/Li redox pair, compared to vacuum approaches, but a potential that it is still off by 1.5 V. Then, the inclusion of explicit solvent molecules improves the description of the solvent-Li(+) chemical bond in the first solvation shell and allows recovery of the experimental value within 100 mV. Finally, we show that the redox active center involves the first solvation shell of Li(+), suggesting a particular pathway for the observed solvent dissociation in Li-ion batteries.

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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 90 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 %
United States 1 1%
Denmark 1 1%
Unknown 88 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 21 23%
Student > Master 15 17%
Researcher 15 17%
Professor > Associate Professor 7 8%
Student > Doctoral Student 4 4%
Other 11 12%
Unknown 17 19%
Readers by discipline
Readers by discipline Count As %
Chemistry 30 33%
Materials Science 13 14%
Chemical Engineering 8 9%
Physics and Astronomy 8 9%
Engineering 8 9%
Other 4 4%
Unknown 19 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 20 December 2022.
All research outputs
#10,024,045
of 29,200,632 outputs
Outputs from Journal of Chemical Theory and Computation
#3,015
of 8,132 outputs
Outputs of similar age
#101,887
of 283,319 outputs
Outputs of similar age from Journal of Chemical Theory and Computation
#44
of 146 outputs
Altmetric has tracked 29,200,632 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,132 research outputs from this source. They receive a mean Attention Score of 4.1. This one has gotten more attention than average, scoring higher than 60% 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 283,319 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 51% of its contemporaries.
We're also able to compare this research output to 146 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.