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        <formatdesc>Figure 2 shows the x-ray and neutron S(k) functions measured for the (a) cold-compressed versus (b) hot-compressed SiO_2 glasses in the region of the first three peaks with the positions  k_1, k_2 and k_3.</formatdesc>
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        <formatdesc>Figure 3 shows the reduced density dependence of (a) the position k_1 and (b) the FWHM Delta k_1 of the FSDP for the different polyamorphs of silica glass extracted from the x-ray S(k) functions.</formatdesc>
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        <formatdesc>Figure 1 shows the total structure factors S(k) for the silica polyamorphs that were investigated using both (a) x-ray diffraction and (b) neutron diffraction (solid black curves). The solid red curves show the structure factors obtained from the MD-RMC models.</formatdesc>
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        <formatdesc>Figure 3 shows the reduced density dependence of (a) the position k_1 and (b) the FWHM Delta k_1 of the FSDP for the different polyamorphs of silica glass extracted from the x-ray S(k) functions.</formatdesc>
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        <formatdesc>Figure 5 shows the partial structure factors S_{alpha beta}(k) obtained from the MD-RMC models for the different polyamorphs of silica glass.</formatdesc>
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        <formatdesc>Figure 7a shows the bond angle distributions B(theta) obtained from the MD-RMC models for the different polyamorphs of silica glass.</formatdesc>
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        <formatdesc>Figure 7b shows the bond angle distributions B(theta)/sin(theta) obtained from the MD-RMC models for the different polyamorphs of silica glass.</formatdesc>
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        <formatdesc>Figure 6 shows the contributions of the weighted partial structure factors S_{alpha beta}(k) towards the (a) and (b) x-ray and (c) and (d) neutron total structure factors S(k) for identical MD-RMC structural models for either the pristine (left column) or RT/20 GPa (right column) glasses.</formatdesc>
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        <formatdesc>Figure 8 shows the full (left hand column) versus grouped (right-hand column) distributions of ring sizes for the different polyamorphs of silica glass.  The distributions correspond to (a) and (b) King rings, (c) and (d) Guttman rings, or (e) and (f) primitive rings.</formatdesc>
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        <formatdesc>Excel data file for the RT/0 GPa glass used to prepare figures 10–15. The file gives the squared radius of gyration and lifetime of all the primitive n-rings identified in the MD-RMC model taken from both the Si-centric and O-centric viewpoints.  For each n-ring, the mean and standard deviation of these parameters is also listed.</formatdesc>
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        <formatdesc>Excel data file for the RT/7.7 GPa glass used to prepare figures 10–15. The file gives the squared radius of gyration and lifetime of all the primitive n-rings identified in the MD-RMC model taken from both the Si-centric and O-centric viewpoints.  For each n-ring, the mean and standard deviation of these parameters is also listed.</formatdesc>
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        <formatdesc>Excel data file for the RT/20 GPa glass used to prepare figures 10–15. The file gives the squared radius of gyration and lifetime of all the primitive n-rings identified in the MD-RMC model taken from both the Si-centric and O-centric viewpoints.  For each n-ring, the mean and standard deviation of these parameters is also listed.</formatdesc>
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        <formatdesc>Excel data file for the 400 C/7.7 GPa glass used to prepare figures 10–15. The file gives the squared radius of gyration and lifetime of all the primitive n-rings identified in the MD-RMC model taken from both the Si-centric and O-centric viewpoints.  For each n-ring, the mean and standard deviation of these parameters is also listed.</formatdesc>
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        <formatdesc>Excel data file for the 1200 C/7.7 GPa glass used to prepare figures 10–15. The file gives the squared radius of gyration and lifetime of all the primitive n-rings identified in the MD-RMC model taken from both the Si-centric and O-centric viewpoints.  For each n-ring, the mean and standard deviation of these parameters is also listed.</formatdesc>
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        <formatdesc>Figure 9 shows the distributions of (a) and (b) King rings, (c) and (d) Guttman rings, or (e) and (f) primitive rings for the different polyamorphs of silica glass under cold compression at RT (left column) or hot compression at 7.7 GPa (right column).</formatdesc>
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    <title>Data sets for article entitled &quot;Ring compaction as a mechanism of densification in amorphous silica&quot;</title>
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      <item>KS0160</item>
    </subjects>
    <divisions>
      <item>dept_physics</item>
    </divisions>
    <note>The files are labelled according to the corresponding figure numbers. The units for each axis are identified on the plots.</note>
    <abstract>Data sets used to prepare Figures 1–15 in the Physical Review B article entitled “Ring compaction as a mechanism of densification in amorphous silica.” The data sets refer to the structure of pristine or densified silica (SiO_2) glass.  The measured data sets were obtained by using either neutron or high-energy x-ray diffraction.  The modelled data sets were obtained by refining the atomic configurations produced by molecular dynamics simulations. The mechanisms of densification in amorphous materials are of importance for understanding their response to high pressure conditions.  Such pressures are encountered  during sharp contact loading or when magma is confined below the Earth&apos;s surface. Our work shows that ring compaction is an important mechanism of densification in amorphous materials that form network structures for which silica is an exemplar.</abstract>
    <date>2023-03-31</date>
    <publisher>University of Bath</publisher>
    <full_text_status>public</full_text_status>
    <corp_contributors>
      <item>
        <type>RightsHolder</type>
        <corpname>University of Bath</corpname>
      </item>
    </corp_contributors>
    <funding>
      <item>
        <funder_name>Royal Society</funder_name>
        <funder_id>https://doi.org/10.13039/501100000288</funder_id>
        <grant_id>DH140152</grant_id>
        <project_name>Dorothy Hodgkin Research Fellowship - Rational Design of Glassy Materials with Technological Applications</project_name>
      </item>
    </funding>
    <research_centres>
      <item>cent_nan</item>
      <item>cent_netcb</item>
    </research_centres>
    <collection_method>The data sets were collected using the methods described in the published paper.</collection_method>
    <provenance>The data sets were analysed using the methods described in the published paper.</provenance>
    <techinfo>Figures 1–7 and 9 were prepared using QtGrace (https://sourceforge.net/projects/qtgrace/). The data set corresponding to a plotted curve within an QtGrace file can be identified by clicking on that curve.  The units for each axis are given on the plots. Figure 8 was prepared created using Origin software (http://www.originlab.com/). The data set corresponding to a plotted data within the Origin file can be identified by clicking on that data. The units for each axis are given on the plot. Figures 10–15 were created from the data listed in the Excel spreadsheets.</techinfo>
    <methodurl>
      <item>https://doi.org/10.1103/PhysRevB.107.144203</item>
    </methodurl>
    <collection_date>
      <date_from>2016-01-01</date_from>
      <date_to>2023-01-08</date_to>
    </collection_date>
    <language>en</language>
    <version>1</version>
    <doi>10.15125/BATH-01106</doi>
    <related_resources>
      <item>
        <link>https://doi.org/10.1103/PhysRevB.107.144203</link>
        <type>pub</type>
      </item>
    </related_resources>
    <access_types>
      <item>open</item>
    </access_types>
    <resourcetype>
      <general>Dataset</general>
    </resourcetype>
  </eprint>
</eprints>
