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Benchmarking density functional tight binding models for barrier heights and reaction energetics of organic molecules

Overview of attention for article published in Journal of Computational Chemistry, July 2017
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Title
Benchmarking density functional tight binding models for barrier heights and reaction energetics of organic molecules
Published in
Journal of Computational Chemistry, July 2017
DOI 10.1002/jcc.24866
Pubmed ID
Authors

Maja Gruden, Ljubica Andjeklović, Akkarapattiakal Kuriappan Jissy, Stepan Stepanović, Matija Zlatar, Qiang Cui, Marcus Elstner

Abstract

Density Functional Tight Binding (DFTB) models are two to three orders of magnitude faster than ab initio and Density Functional Theory (DFT) methods and therefore are particularly attractive in applications to large molecules and condensed phase systems. To establish the applicability of DFTB models to general chemical reactions, we conduct benchmark calculations for barrier heights and reaction energetics of organic molecules using existing databases and several new ones compiled in this study. Structures for the transition states and stable species have been fully optimized at the DFTB level, making it possible to characterize the reliability of DFTB models in a more thorough fashion compared to conducting single point energy calculations as done in previous benchmark studies. The encouraging results for the diverse sets of reactions studied here suggest that DFTB models, especially the most recent third-order version (DFTB3/3OB augmented with dispersion correction), in most cases provide satisfactory description of organic chemical reactions with accuracy almost comparable to popular DFT methods with large basis sets, although larger errors are also seen for certain cases. Therefore, DFTB models can be effective for mechanistic analysis (e.g., transition state search) of large (bio)molecules, especially when coupled with single point energy calculations at higher levels of theory. © 2017 Wiley Periodicals, Inc.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 65 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 35%
Researcher 9 14%
Student > Master 7 11%
Student > Bachelor 6 9%
Professor > Associate Professor 3 5%
Other 7 11%
Unknown 10 15%
Readers by discipline Count As %
Chemistry 40 62%
Chemical Engineering 2 3%
Engineering 2 3%
Physics and Astronomy 2 3%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 5 8%
Unknown 13 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 03 August 2017.
All research outputs
#6,162,652
of 22,990,068 outputs
Outputs from Journal of Computational Chemistry
#570
of 2,097 outputs
Outputs of similar age
#97,755
of 316,512 outputs
Outputs of similar age from Journal of Computational Chemistry
#7
of 35 outputs
Altmetric has tracked 22,990,068 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 2,097 research outputs from this source. They receive a mean Attention Score of 3.8. This one has gotten more attention than average, scoring higher than 72% 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 316,512 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 68% of its contemporaries.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.