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        <formatdesc>gzipped tar file of the supporting computational data for &quot;Reversible Magnesium and Aluminium-ions Insertion in Cation-Deficient Anatase TiO2&quot;. To open use`tar -zxvf morgan_et_al_2017_BATH00397.tar.gz`</formatdesc>
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    <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>
      <item>
        <name>
          <family>Salanne</family>
          <given>Mathieu</given>
        </name>
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        <orcid>0000-0002-1753-491X</orcid>
        <affiliation>Sorbonne University</affiliation>
        <contact>FALSE</contact>
      </item>
      <item>
        <name>
          <family>Dambournet</family>
          <given>Damien</given>
        </name>
        <id>damien.dambournet@sorbonne-universite.fr</id>
        <orcid>0000-0003-3831-2643</orcid>
        <affiliation>Sorbonne University</affiliation>
        <contact>FALSE</contact>
      </item>
    </creators>
    <contributors>
      <item>
        <type>ProjectMember</type>
        <name>
          <family>Salanne</family>
          <given>Mathieu</given>
        </name>
        <id>mathieu.salanne@sorbonne-universite.fr</id>
        <orcid>0000-0002-1753-491X</orcid>
        <affiliation>Sorbonne University</affiliation>
      </item>
      <item>
        <type>ProjectLeader</type>
        <name>
          <family>Dambournet</family>
          <given>Damien</given>
        </name>
        <id>damien.dambournet@sorbonne-universite.fr</id>
        <orcid>0000-0003-3831-2643</orcid>
        <affiliation>Sorbonne University</affiliation>
      </item>
    </contributors>
    <title>Computational Dataset for &quot;Reversible Magnesium and Aluminium-ions Insertion in Cation-Deficient Anatase TiO2&quot;</title>
    <subjects>
      <item>ED0080</item>
    </subjects>
    <divisions>
      <item>dept_chem</item>
    </divisions>
    <keywords>multivalent, batteries, density-functional-theory, intercalation</keywords>
    <abstract>This dataset contains the computational data and analysis for the paper &quot;Reversible Magnesium and Aluminium-Ions Insertion in Cation-Deficient Anatase TiO2&quot; (https://doi.org/10.1038/nmat4976).

The repository contains:  
1. Input and output files for the DFT calculations, performed using VASP. This is detailed below in the Data section.
2. A `vasp_summary` script, that collects the relevant VASP data into a file `F-TiO2_intercalation_data.yaml`.
3. A Jupyter notebook, `F-TiO2 intercalation energies.ipynb`, containing the data analysis, and code for plotting intercalation energies.

2 and 3 both depend on the vasppy Python module (https://github.com/bjmorgan/vasppy, https://doi.org/10.5281/zenodo.801663), available under the MIT licence.</abstract>
    <date>2017-07-11</date>
    <publisher>University of Bath</publisher>
    <full_text_status>public</full_text_status>
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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>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>
    <collection_method>All calculations were performed using VASP 5.3.5. Input files for each calculation are contained within the dataset.

For further details, please see the associated paper, available at
http://opus.bath.ac.uk/57334/.</collection_method>
    <provenance>Relevant data (energies of optimised structures) were extracted using the included `vasp_summary`. Intercalation energies and voltages were calculated with the included Jupyter notebook. Both steps use the `vasppy` Python module, available at https://github.com/bjmorgan/vasppy.</provenance>
    <language>en</language>
    <version>1</version>
    <doi>10.15125/BATH-00397</doi>
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        <type>pub</type>
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