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Concurrent coupling of realistic and ideal models of liquids and solids in Hamiltonian adaptive resolution simulations

Overview of attention for article published in The European Physical Journal E, May 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#30 of 679)
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

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5 news outlets
blogs
1 blog
twitter
1 X user

Citations

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7 Dimensions

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6 Mendeley
Title
Concurrent coupling of realistic and ideal models of liquids and solids in Hamiltonian adaptive resolution simulations
Published in
The European Physical Journal E, May 2018
DOI 10.1140/epje/i2018-11675-x
Pubmed ID
Authors

Maziar Heidari, Robinson Cortes-Huerto, Kurt Kremer, Raffaello Potestio

Abstract

To understand the properties of a complex system it is often illuminating to perform a comparison with a simpler, even idealised one. A prototypical application of this approach is the calculation of free energies and chemical potentials in liquids, which can be decomposed in the sum of ideal and excess contributions. In the same spirit, in computer simulations it is possible to extract useful information on a given system making use of setups where two models, an accurate one and a simpler one, are concurrently employed and directly coupled. Here, we tackle the issue of coupling atomistic or, more in general, interacting models of a system with the corresponding idealised representations: for a liquid, this is the ideal gas, i.e. a collection of non-interacting particles; for a solid, we employ the ideal Einstein crystal, a construct in which particles are decoupled from one another and restrained by a harmonic, exactly integrable potential. We describe in detail the practical and technical aspects of these simulations, and suggest that the concurrent usage and coupling of realistic and ideal models represents a promising strategy to investigate liquids and solids in silico.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 2 33%
Student > Ph. D. Student 1 17%
Lecturer > Senior Lecturer 1 17%
Unknown 2 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 17%
Agricultural and Biological Sciences 1 17%
Chemistry 1 17%
Unknown 3 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 44. 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 March 2023.
All research outputs
#897,313
of 24,417,958 outputs
Outputs from The European Physical Journal E
#30
of 679 outputs
Outputs of similar age
#20,380
of 334,684 outputs
Outputs of similar age from The European Physical Journal E
#3
of 18 outputs
Altmetric has tracked 24,417,958 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 679 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has done particularly well, scoring higher than 95% 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 334,684 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.