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    <datestamp>2019-09-06 09:31:17</datestamp>
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        <name>
          <family>Salmon</family>
          <given>Philip</given>
        </name>
        <id>P.S.Salmon@bath.ac.uk</id>
        <orcid>0000-0001-8671-1011</orcid>
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          <family>Zeidler</family>
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        <orcid>0000-0001-6501-8525</orcid>
        <affiliation>University of Bath</affiliation>
        <contact>TRUE</contact>
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    <title>Data sets for the Journal of Statistical Mechanics: Theory and Experiment article entitled &quot;Ordering on different length scales in liquid and amorphous materials&quot;</title>
    <subjects>
      <item>BS0050</item>
      <item>CG0020</item>
      <item>EM0050</item>
      <item>GE0030</item>
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    <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 1-10 &amp; 12 in the Journal of Statistical Mechanics: Theory and Experiment article entitled &quot;Ordering on different length scales in liquid and amorphous materials&quot;.

Figure 1 shows representative structure factors S(k) for several amorphous materials plotted as a function of kd where d is the nearest-neighbour distance.

Figure 2 shows the number-number partial structure factor S_{NN}(k) measured for amorphous silicon (solid curve), amorphous germanium (broken [red] curve) and the network-forming glasses SiO_2, GeO_2, ZnCl_2 and GeSe_2, plotted as a function of kd where d is the Si-Si or Ge-Ge bond distance for amorphous silicon and germanium, respectively, or the A-X bond distance for the network glasses.

Figure 3 shows the measured concentration-concentration partial structure factor S_{CC}(k) for glassy SiO_2, GeO_2, ZnCl_2 and GeSe_2, plotted as a function of kd where d = r_{AX} is the A-X bond distance.

Figure 4 shows the measured number-concentration partial structure factor S_{NC}(k) for glassy SiO_2, GeO_2, ZnCl_2 and GeSe_2, plotted as a function of kd where d = r_{AX} is the A-X bond distance.

Figure 5 shows (a) the measured fragility index m as a function of the bond angle θ_{AXA}^{CS} for several AX_2 glass-forming systems; (b) the dependence of the height ratio of the peaks in S_{NN}(k) at k_1 and k_2 on the bond angle θ_{AXA}^{CS}; and (c) the A-X-A bond angle distribution n(θ_{AXA}) calculated using a polarisable ion model.

Figure 6 shows the pressure dependence of the measured total structure factor S(k) for glassy (a) ^{73}GeO_2 and (b) GeSe_2 plotted as a function of kd, where d = r_AX is the A-X bond distance. In (a) the neutron S(k) function is given for glassy ^{73}GeO_2, and in (b) the neutron S(k) function is compared to the X-ray S(k) function for glassy GeSe_2. In all cases, S(k) ≃ S_{NN}(k).

Figure 7 shows the decay of the total and number-number pair-distribution functions for liquid Au_{0.81}Si_{0.19} and glassy ZnCl_2.

Figure 8 shows the measured partial structure factor S_{AA}(k) for glassy SiO_2, GeO_2, ZnCl_2 and GeSe_2, plotted as a function of kd where d = r_{AA}^{CS} is the nearest-neighbour distance for corner-sharing tetrahedra. Also shown is S(k) versus kd for amorphous silicon and germanium where d = r_{SiSi} or d = r_{GeGe}, and S_{OO}(k) versus kd for LDA ice where d = r_{OO}.

Figure 9 shows the measured partial structure factor S_{XX}(k) for glassy SiO_2, GeO_2, ZnCl_2 and GeSe_2, plotted as a function of kd where d = r_{XX} is the position of the first major peak in the corresponding partial pair-distribution function g_{XX}(r).

Figure 10 shows the measured partial structure factor S_{AX}(k) for glassy SiO_2, GeO_2, ZnCl_2 and GeSe_2, plotted as a function of kd where d = r_{AX} is the A-X bond distance obtained from the first peak in the corresponding partial pair-distribution function g_{AX}(r).

Figure 12 shows a comparison between the Cl-Cl-Cl bond angle distribution for glassy ZnCl_2 generated by the reverse Monte Carlo (RMC) method, the bond angle distribution obtained from a hard sphere Monte Carlo (HSMC) simulation of the glass, and the bond angle distribution obtained from the large 7934 sphere random close packing model of Bernal and co-workers.</abstract>
    <date>2019-09-06</date>
    <publisher>University of Bath</publisher>
    <full_text_status>public</full_text_status>
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      <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>
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    <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 - 10 &amp; 12 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.</techinfo>
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    <doi>10.15125/BATH-00600</doi>
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