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Modeling Molecular Interactions in Water: From Pairwise to Many-Body Potential Energy Functions

Overview of attention for article published in Chemical Reviews, May 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

blogs
1 blog
twitter
3 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
329 Dimensions

Readers on

mendeley
396 Mendeley
citeulike
2 CiteULike
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Title
Modeling Molecular Interactions in Water: From Pairwise to Many-Body Potential Energy Functions
Published in
Chemical Reviews, May 2016
DOI 10.1021/acs.chemrev.5b00644
Pubmed ID
Authors

Gerardo Andrés Cisneros, Kjartan Thor Wikfeldt, Lars Ojamäe, Jibao Lu, Yao Xu, Hedieh Torabifard, Albert P. Bartók, Gábor Csányi, Valeria Molinero, Francesco Paesani

Abstract

Almost 50 years have passed from the first computer simulations of water, and a large number of molecular models have been proposed since then to elucidate the unique behavior of water across different phases. In this article, we review the recent progress in the development of analytical potential energy functions that aim at correctly representing many-body effects. Starting from the many-body expansion of the interaction energy, specific focus is on different classes of potential energy functions built upon a hierarchy of approximations and on their ability to accurately reproduce reference data obtained from state-of-the-art electronic structure calculations and experimental measurements. We show that most recent potential energy functions, which include explicit short-range representations of two-body and three-body effects along with a physically correct description of many-body effects at all distances, predict the properties of water from the gas to the condensed phase with unprecedented accuracy, thus opening the door to the long-sought "universal model" capable of describing the behavior of water under different conditions and in different environments.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 396 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 <1%
United States 2 <1%
Korea, Republic of 1 <1%
Italy 1 <1%
Switzerland 1 <1%
Czechia 1 <1%
Australia 1 <1%
Qatar 1 <1%
United Kingdom 1 <1%
Other 0 0%
Unknown 385 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 110 28%
Researcher 73 18%
Student > Master 25 6%
Professor 25 6%
Student > Bachelor 23 6%
Other 77 19%
Unknown 63 16%
Readers by discipline Count As %
Chemistry 158 40%
Physics and Astronomy 55 14%
Engineering 24 6%
Materials Science 20 5%
Biochemistry, Genetics and Molecular Biology 18 5%
Other 49 12%
Unknown 72 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 08 July 2022.
All research outputs
#2,965,420
of 25,123,616 outputs
Outputs from Chemical Reviews
#1,150
of 5,376 outputs
Outputs of similar age
#48,258
of 334,597 outputs
Outputs of similar age from Chemical Reviews
#15
of 74 outputs
Altmetric has tracked 25,123,616 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,376 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. This one has done well, scoring higher than 78% 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 334,597 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 85% of its contemporaries.
We're also able to compare this research output to 74 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.