Supplementary data for "Molecular-scale thermally activated fractures in methane hydrates: A molecular dynamics study"

In this dataset you can find - a data sample that can be used to confirm the plots in the paper. This can be found in the folder "data_sample". Each folder inside "data_sample" is one simulation. It contains the thermodynamic output from the simulation (log.lammps), and the input...

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Bibliographic Details
Main Author: Sveinsson, Henrik Andersen
Format: Dataset
Language:English
Published: Zenodo 2019
Subjects:
Online Access:https://dx.doi.org/10.5281/zenodo.3229900
https://zenodo.org/record/3229900
id ftdatacite:10.5281/zenodo.3229900
record_format openpolar
spelling ftdatacite:10.5281/zenodo.3229900 2023-05-15T17:12:05+02:00 Supplementary data for "Molecular-scale thermally activated fractures in methane hydrates: A molecular dynamics study" Sveinsson, Henrik Andersen 2019 https://dx.doi.org/10.5281/zenodo.3229900 https://zenodo.org/record/3229900 en eng Zenodo https://dx.doi.org/10.5281/zenodo.2587758 Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess CC-BY Molecular dynamics Methane hydrate Clathrate Fracture dataset Dataset 2019 ftdatacite https://doi.org/10.5281/zenodo.3229900 https://doi.org/10.5281/zenodo.2587758 2021-11-05T12:55:41Z In this dataset you can find - a data sample that can be used to confirm the plots in the paper. This can be found in the folder "data_sample". Each folder inside "data_sample" is one simulation. It contains the thermodynamic output from the simulation (log.lammps), and the input script (mw_hydrate_pennycrack.in) and input data (s1_unit_cell_mw.data and water_methane_hydrate.sw) that enables rerunning the simulation using LAMMPS. - A custom LAMMPS region, region_ellipsoid. This has to be compiled into LAMMPS in order to create the systems that we simulate. - A python script, plot_data.py, that shows how to extract the relevant data from the lammps log files, which enables the partial reproduction of figure 3 in the paper. See instructions below for requirements to use this script. "region_ellipsoid" and "data_sample" 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. Installation instructions to make "plot_data.py" work (assuming you already have numpy and matplotlib): > pip3 install git+https://github.com/henriasv/regex-file-collector.git > pip3 install git+https://github.com/henriasv/lammps-logfile.git If this does not work, please contact Henrik Andersen Sveinsson, henriasv@fys.uio.no : {"references": ["Henrik Andersen Sveinsson and Anders Malthe-s\u00f8renssen. Molecular- scale thermally activated fractures in methane hydrates : a molecular dynamics study. Physical Chemistry Chemical Physics (2019"]} Dataset Methane hydrate DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic Molecular dynamics
Methane hydrate
Clathrate
Fracture
spellingShingle Molecular dynamics
Methane hydrate
Clathrate
Fracture
Sveinsson, Henrik Andersen
Supplementary data for "Molecular-scale thermally activated fractures in methane hydrates: A molecular dynamics study"
topic_facet Molecular dynamics
Methane hydrate
Clathrate
Fracture
description In this dataset you can find - a data sample that can be used to confirm the plots in the paper. This can be found in the folder "data_sample". Each folder inside "data_sample" is one simulation. It contains the thermodynamic output from the simulation (log.lammps), and the input script (mw_hydrate_pennycrack.in) and input data (s1_unit_cell_mw.data and water_methane_hydrate.sw) that enables rerunning the simulation using LAMMPS. - A custom LAMMPS region, region_ellipsoid. This has to be compiled into LAMMPS in order to create the systems that we simulate. - A python script, plot_data.py, that shows how to extract the relevant data from the lammps log files, which enables the partial reproduction of figure 3 in the paper. See instructions below for requirements to use this script. "region_ellipsoid" and "data_sample" 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. Installation instructions to make "plot_data.py" work (assuming you already have numpy and matplotlib): > pip3 install git+https://github.com/henriasv/regex-file-collector.git > pip3 install git+https://github.com/henriasv/lammps-logfile.git If this does not work, please contact Henrik Andersen Sveinsson, henriasv@fys.uio.no : {"references": ["Henrik Andersen Sveinsson and Anders Malthe-s\u00f8renssen. Molecular- scale thermally activated fractures in methane hydrates : a molecular dynamics study. Physical Chemistry Chemical Physics (2019"]}
format Dataset
author Sveinsson, Henrik Andersen
author_facet Sveinsson, Henrik Andersen
author_sort Sveinsson, Henrik Andersen
title Supplementary data for "Molecular-scale thermally activated fractures in methane hydrates: A molecular dynamics study"
title_short Supplementary data for "Molecular-scale thermally activated fractures in methane hydrates: A molecular dynamics study"
title_full Supplementary data for "Molecular-scale thermally activated fractures in methane hydrates: A molecular dynamics study"
title_fullStr Supplementary data for "Molecular-scale thermally activated fractures in methane hydrates: A molecular dynamics study"
title_full_unstemmed Supplementary data for "Molecular-scale thermally activated fractures in methane hydrates: A molecular dynamics study"
title_sort supplementary data for "molecular-scale thermally activated fractures in methane hydrates: a molecular dynamics study"
publisher Zenodo
publishDate 2019
url https://dx.doi.org/10.5281/zenodo.3229900
https://zenodo.org/record/3229900
genre Methane hydrate
genre_facet Methane hydrate
op_relation https://dx.doi.org/10.5281/zenodo.2587758
op_rights Open Access
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
info:eu-repo/semantics/openAccess
op_rightsnorm CC-BY
op_doi https://doi.org/10.5281/zenodo.3229900
https://doi.org/10.5281/zenodo.2587758
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