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Prediction and Calculation of Crystal Structures

Overview of attention for book
Attention for Chapter 488: Dispersion Corrected Hartree–Fock and Density Functional Theory for Organic Crystal Structure Prediction
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  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#33 of 147)
  • Good Attention Score compared to outputs of the same age (79th percentile)

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51 Mendeley
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Chapter title
Dispersion Corrected Hartree–Fock and Density Functional Theory for Organic Crystal Structure Prediction
Chapter number 488
Book title
Prediction and Calculation of Crystal Structures
Published in
Topics in current chemistry, November 2013
DOI 10.1007/128_2013_488
Pubmed ID
Book ISBNs
978-3-31-905773-6, 978-3-31-905774-3
Authors

Jan Gerit Brandenburg, Stefan Grimme

Editors

Sule Atahan-Evrenk, Alan Aspuru-Guzik

Abstract

We present and evaluate dispersion corrected Hartree-Fock (HF) and Density Functional Theory (DFT) based quantum chemical methods for organic crystal structure prediction. The necessity of correcting for missing long-range electron correlation, also known as van der Waals (vdW) interaction, is pointed out and some methodological issues such as inclusion of three-body dispersion terms are discussed. One of the most efficient and widely used methods is the semi-classical dispersion correction D3. Its applicability for the calculation of sublimation energies is investigated for the benchmark set X23 consisting of 23 small organic crystals. For PBE-D3 the mean absolute deviation (MAD) is below the estimated experimental uncertainty of 1.3 kcal/mol. For two larger π-systems, the equilibrium crystal geometry is investigated and very good agreement with experimental data is found. Since these calculations are carried out with huge plane-wave basis sets they are rather time consuming and routinely applicable only to systems with less than about 200 atoms in the unit cell. Aiming at crystal structure prediction, which involves screening of many structures, a pre-sorting with faster methods is mandatory. Small, atom-centered basis sets can speed up the computation significantly but they suffer greatly from basis set errors. We present the recently developed geometrical counterpoise correction gCP. It is a fast semi-empirical method which corrects for most of the inter- and intramolecular basis set superposition error. For HF calculations with nearly minimal basis sets, we additionally correct for short-range basis incompleteness. We combine all three terms in the HF-3c denoted scheme which performs very well for the X23 sublimation energies with an MAD of only 1.5 kcal/mol, which is close to the huge basis set DFT-D3 result.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 50 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 33%
Researcher 8 16%
Professor > Associate Professor 3 6%
Student > Master 3 6%
Student > Bachelor 2 4%
Other 4 8%
Unknown 14 27%
Readers by discipline Count As %
Chemistry 28 55%
Materials Science 5 10%
Engineering 2 4%
Physics and Astronomy 1 2%
Neuroscience 1 2%
Other 0 0%
Unknown 14 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 04 March 2015.
All research outputs
#4,589,133
of 22,793,427 outputs
Outputs from Topics in current chemistry
#33
of 147 outputs
Outputs of similar age
#42,968
of 212,522 outputs
Outputs of similar age from Topics in current chemistry
#1
of 3 outputs
Altmetric has tracked 22,793,427 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 147 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 77% 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 212,522 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 79% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them