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        <formatdesc>Top level README describing the directory structure of the compressed data archive file</formatdesc>
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        <formatdesc>Full DFT dataset for the calculations described in &quot;Mechanistic Origin of Lithium Diffusion in Anion-Disordered Li6PS5X Argyrodites&quot; https://doi.org/10.1021/acs.chemmater.0c03738

Full details are given in the uploaded README.md file.

The data is stored as a gzipped tar file.</formatdesc>
        <language>en</language>
        <security>public</security>
        <license>cc_by</license>
        <main>argyrodite_MD.tar.gz</main>
        <content>data</content>
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    <datestamp>2021-03-09 13:57:42</datestamp>
    <lastmod>2024-07-15 10:59:27</lastmod>
    <status_changed>2021-03-09 13:57:42</status_changed>
    <type>data_collection</type>
    <metadata_visibility>show</metadata_visibility>
    <creators>
      <item>
        <name>
          <family>Morgan</family>
          <given>Benjamin</given>
        </name>
        <id>B.J.Morgan@bath.ac.uk</id>
        <orcid>0000-0002-3056-8233</orcid>
        <affiliation>University of Bath</affiliation>
        <contact>TRUE</contact>
      </item>
    </creators>
    <title>DFT Dataset for &quot;Mechanistic Origin of Superionic Lithium Diffusion in Anion-Disordered Li6PS5X Argyrodites&quot;</title>
    <subjects>
      <item>ED0080</item>
    </subjects>
    <divisions>
      <item>dept_chem</item>
    </divisions>
    <keywords>molecular dynamics, solid electrolytes, AIMD, DFT</keywords>
    <abstract>This dataset contains inputs and outputs for AIMD simulations of Li6PS5X (X=I, Cl) argyrodites, as described in the article &quot;Mechanistic Origin of Superionic Lithium Diffusion in Anion-Disordered Li6PS5X Argyrodites&quot; DOI:10.1021/acs.chemmater.0c03738

The dataset includes VASP (https://www.vasp.at) inputs and outputs for the full set of AIMD simulations, and for the calculation of &quot;inherent structure trajectories&quot; from the raw simulation trajectories.

Every `runN` directory contains:

- `INCAR`: VASP calculation settings.
- `KPOINTS`: VASP k-points settings.
- `POSCAR`: Starting structure for this MD run. For runN with N&gt;1, this is the final structure from the preceding run, i.e. runN-1.
- `CONTCAR`: The final structure from this MD run.
- `POTCAR.spec`: Specifies the pseudopotentials used.
- `vasprun.xml.gz`: Gzipped VASP `vasprun.xml` output file.
- `XDATCAR.gz`: Gzipped VASP MD trajectory, in `XDATCAR` format.
and a `quench` subdirectory.

The `quench` subdirectories contain a series of `config_XXXX` directories. Each of these uses the corresponding timestep from the parent MD run as a starting structure for a single point geometry optimisation to obtain the corresponding intrinsic structure. Every `quench` directory also contains:

- `actual_XDATCAR.gz`: Geometries from the actual MD simulation, in VASP XDATCAR format.
- `inherent_XDATCAR.gz`: Sequence of inherent structures obtained by optimising the structures in `actual_XDATCAR.gz`, in VASP XDATCAR format.
- `frame_numbers.gz`: A list of timestep, or &quot;frame&quot; numbers for the configurations in `actual_XDATCAR.gz` and `inherent_XDATCAR.gz`.</abstract>
    <date>2020-12-21</date>
    <publisher>University of Bath</publisher>
    <full_text_status>public</full_text_status>
    <corp_contributors>
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        <type>RightsHolder</type>
        <corpname>University of Bath</corpname>
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    <funding>
      <item>
        <funder_name>Royal Society</funder_name>
        <funder_id>https://doi.org/10.13039/501100000288</funder_id>
        <grant_id>UF130329</grant_id>
        <project_name>Dr B Morgan URF - Modelling Collective Lithium-Ion Dynamics in Battery Materials</project_name>
      </item>
      <item>
        <funder_name>Royal Society</funder_name>
        <funder_id>https://doi.org/10.13039/501100000288</funder_id>
        <grant_id>URF\R\191006</grant_id>
        <project_name>Computational Discovery of Conduction Mechanisms in Lithium-Ion Solid Electrolytes</project_name>
      </item>
      <item>
        <funder_name>Faraday Institution</funder_name>
        <funder_id>https://doi.org/10.13039/100017146</funder_id>
        <grant_id>FIRG003</grant_id>
        <project_name>Faraday Institute Call - Multi-Scale Modelling</project_name>
      </item>
      <item>
        <funder_name>Engineering and Physical Sciences Research Council</funder_name>
        <funder_id>https://doi.org/10.13039/501100000266</funder_id>
        <grant_id>EP/L000202/1</grant_id>
        <project_name>Materials Chemistry High End Computing Consortium</project_name>
      </item>
    </funding>
    <techinfo>All data included in this dataset has been generated using the VASP DFT code.</techinfo>
    <methodurl>
      <item>https://doi.org/10.1021/acs.chemmater.0c03738</item>
      <item>https://www.vasp.at/wiki/index.php/The_VASP_Manual</item>
    </methodurl>
    <language>en</language>
    <version>1</version>
    <doi>10.15125/BATH-00814</doi>
    <related_resources>
      <item>
        <link>https://doi.org/10.26434/chemrxiv.12349703.v1</link>
        <type>pub</type>
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        <link>https://doi.org/10.5281/zenodo.4338578</link>
        <type>data</type>
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      <item>
        <link>https://doi.org/10.1021/acs.chemmater.0c03738</link>
        <type>pub</type>
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