Powered by OpenAIRE graph
Found an issue? Give us feedback
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/ ZENODOarrow_drop_down
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 . 2022
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 . 2022
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 . 2022
License: CC BY
Data sources: ZENODO
versions View all 2 versions
addClaim

Supplementary data for "Nanoscale damage production by dynamic tensile rupture in alpha-quartz"

Authors: Guren, Marthe Grønlie;

Supplementary data for "Nanoscale damage production by dynamic tensile rupture in alpha-quartz"

Abstract

In this dataset you can find sample data from simulations of crack propagation and python scripts that can be used to confirm the plots in the paper. "mainSimualtions" and "parameterVariations" contains the simulations where the crack propagates through alpha-quartz. "mainSimulations" contain the data used for the plots in the manuscript. Each folder inside "mainSimulations" is one simulation. "parameterVariations" contain data for checking sensitivity to the simulation setup. The folder contains the subfolders: compressiveStress, loadingPlane0110, loadingRate and temperature. Each folder inside the subfolders is one simulation. For each folder containing one simulations, we provide: NAME.run: The input script NAME.data: The input data job.sh: Script to run the simulation log.lammps: Thermodynamic output from the simulation fracture_displacement.npy: Output providing the crack tip position with time Note that the pressures given in the folder names and in the simulations are in bars, not MPa. "verify_quartz_parameters" contains scripts and simulations performed to verify that the simulated material has properties similar those of alpha-quartz. "mainSimualtions", "parameterVariations" and "verify_quartz_parameters" are in zip containers. In order to use them, please unzip them and leave the resulting folders in the same directory as this README file. The python scripts "NAME.py" shows how to extract the relevant data from the lammps log files, which enables reproduction of the figures in the paper. See instructions below to use the scripts. Installation instructions to make the python plot scripts working, assuming you already have numpy and matplotlib: > pip3 install git+https://github.com/henriasv/lammps-logfile.git If this does not work, please contact Marthe Grønlie Guren, m.g.guren@geo.uio.no

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    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).
    1
    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
    OpenAIRE UsageCounts
    Usage byUsageCounts
    visibility views 7
    download downloads 3
  • 7
    views
    3
    downloads
    Powered byOpenAIRE UsageCounts
Powered by OpenAIRE graph
Found an issue? Give us feedback
visibility
download
selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
1
Average
Average
Average
7
3