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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2020
License: CC BY
Data sources: ZENODO
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Data Supporting GoodVibes: automated thermochemistry for heterogeneous computational chemistry data

Authors: Luchini, Guilian; Alegre-Requena, Juan V.; Paton, Robert S.;

Data Supporting GoodVibes: automated thermochemistry for heterogeneous computational chemistry data

Abstract

These files are provided in support of the use case in a recent manuscript showing the use of the Python package GoodVibes. This data set contains Gaussian optimization and frequency calculations on 25 molecules, along with 25 corresponding ORCA single point energy calculations, a YAML file to dictate and format the reaction pathway, and example outputs of the tabulated thermochemistry and a PNG of the potential energy surface graph output. To generate these output files, the command: python -m goodvibes *.log --spc DLPNO --pes PhPy.yaml --graph PhPy.yaml -t 353.15 --imag --invertifreq -5 --media ethanol -c 1 was run in the directory containing the calculation output (.log and .out) files.

Related Organizations
Keywords

quasi-harmonic, GoodVibes, Automation, quasi-RRHO, Thermodynamics, Thermochemistry, Quantum Chemistry

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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