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  <eprint id='https://researchdata.bath.ac.uk/id/eprint/996'>
    <eprintid>996</eprintid>
    <rev_number>56</rev_number>
    <documents>
      <document id='https://researchdata.bath.ac.uk/id/document/14862'>
        <docid>14862</docid>
        <rev_number>2</rev_number>
        <files>
          <file id='https://researchdata.bath.ac.uk/id/file/46409'>
            <fileid>46409</fileid>
            <datasetid>document</datasetid>
            <objectid>14862</objectid>
            <filename>Max_E-Field_Nanoparticle_Simulations.csv</filename>
            <mime_type>text/plain</mime_type>
            <hash>28421517b56ef364345e7c1dec3cee72</hash>
            <hash_type>MD5</hash_type>
            <filesize>336</filesize>
            <mtime>2021-04-12 09:58:36</mtime>
            <url>https://researchdata.bath.ac.uk/996/1/Max_E-Field_Nanoparticle_Simulations.csv</url>
          </file>
        </files>
        <eprintid>996</eprintid>
        <pos>1</pos>
        <placement>1</placement>
        <mime_type>text/plain</mime_type>
        <format>other</format>
        <formatdesc>Simulations data of the maximum electric field strength for nanoparticles of different sizes (Diameters = 20 nm, 40 nm and 60 nm) observed at the spectral wavelength of 785 nm. Data were obtained for various materials and material models in Lumerical.</formatdesc>
        <language>en</language>
        <security>public</security>
        <license>cc_by</license>
        <main>Max_E-Field_Nanoparticle_Simulations.csv</main>
        <content>data</content>
      </document>
    </documents>
    <eprint_status>archive</eprint_status>
    <userid>3594</userid>
    <dir>disk0/00/00/09/96</dir>
    <datestamp>2021-09-09 11:05:11</datestamp>
    <lastmod>2024-07-15 10:59:42</lastmod>
    <status_changed>2021-09-09 11:05:11</status_changed>
    <type>data_collection</type>
    <metadata_visibility>show</metadata_visibility>
    <creators>
      <item>
        <name>
          <family>Gong</family>
          <given>Kedong</given>
        </name>
        <id>~gong.kedong@fudan.edu.cn</id>
        <affiliation>Fudan University</affiliation>
        <contact>FALSE</contact>
      </item>
      <item>
        <name>
          <family>Jones</family>
          <given>Robin</given>
        </name>
        <id>rrj21@bath.ac.uk</id>
        <orcid>0000-0003-0438-3443</orcid>
        <affiliation>University of Bath</affiliation>
        <contact>TRUE</contact>
      </item>
      <item>
        <name>
          <family>Li</family>
          <given>Kejian</given>
        </name>
        <id>~li.kejian@fudan.edu.cn</id>
        <affiliation>Fudan University</affiliation>
        <contact>FALSE</contact>
      </item>
      <item>
        <name>
          <family>Xu</family>
          <given>Guanjun</given>
        </name>
        <id>~xu.guanjun@fudan.edu.cn</id>
        <affiliation>Fudan University</affiliation>
        <contact>FALSE</contact>
      </item>
      <item>
        <name>
          <family>Cheng</family>
          <given>Hanyun</given>
        </name>
        <id>~hanyun.cheng@fudan.edu.cn</id>
        <affiliation>Fudan University</affiliation>
        <contact>FALSE</contact>
      </item>
      <item>
        <name>
          <family>Feng</family>
          <given>Yiqing</given>
        </name>
        <id>~yiqing.feng@fudan.edu.cn</id>
        <affiliation>Fudan University</affiliation>
        <contact>FALSE</contact>
      </item>
      <item>
        <name>
          <family>Valev</family>
          <given>Ventsislav</given>
        </name>
        <id>V.K.Valev@bath.ac.uk</id>
        <orcid>0000-0001-9951-1836</orcid>
        <affiliation>University of Bath</affiliation>
        <contact>FALSE</contact>
      </item>
      <item>
        <name>
          <family>Zhang</family>
          <given>Liwu</given>
        </name>
        <id>zhanglw@fudan.edu.cn</id>
        <orcid>0000-0002-0765-8660</orcid>
        <affiliation>Fudan University</affiliation>
        <contact>FALSE</contact>
      </item>
    </creators>
    <title>Dataset for &quot;Sensing pH of individual microdroplet by combining SERS and indicator paper&quot;</title>
    <subjects>
      <item>BA0040</item>
      <item>GE0020</item>
      <item>GV0020</item>
      <item>HH0020</item>
      <item>HH0040</item>
    </subjects>
    <divisions>
      <item>dept_physics</item>
    </divisions>
    <keywords>Simulations, Finite-difference time-domain, nanoparticles</keywords>
    <abstract>This dataset contains the simulated maximum plasmon induced electric field enhancement factor of spherical metallic nanoparticles. Three different particle diameters were investigated, 20 nm, 40 nm and 60 nm. The simulations were finite-difference time-domain simulations performed in Lumerical. The simulation domain was a three-dimensional cube void spanning 1 µm in each direction. The mesh granularity was 1 nm in the volume occupied by the nanoparticle providing high fidelity electric field data. A broad-spectrum Mie source of light (100 nm to 800 nm) was employed and encapsulated the nanoparticle. The electric field distribution in the plane perpendicular to the incident wave vector of the light, bisecting the nanoparticle, was monitored to determine the maximum electric field enhancement. In the first instance, three different material property annals for Au in Lumerical (Palik, CRC handbook of chemistry and physics (CRC) and Johnson &amp; Christy) were modelled and simulated to determine the sensitivity of simulations on the selected material model. Subsequently, a range of metallic material models were trialled to assess the sensitivity of the electric field enhancements on material: Cr (CRC), Fe (CRC), Ti (CRC), Al (CRC), Pt (Palik), Ni (CRC), Pd (Palik), Cu (CRC), Ag (Palik). The excel file contains the maximum electric field enhancments for the different materials.</abstract>
    <date>2021-07-30</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>Ministry of Science and Technology of the People&apos;s Republic of China</funder_name>
        <funder_id>https://doi.org/10.13039/501100002855</funder_id>
        <grant_id>2016YFE0112200</grant_id>
      </item>
      <item>
        <funder_name>Ministry of Science and Technology of the People&apos;s Republic of China</funder_name>
        <funder_id>https://doi.org/10.13039/501100002855</funder_id>
        <grant_id>2016YFC0202700</grant_id>
      </item>
      <item>
        <funder_name>National Natural Science Foundation of China</funder_name>
        <funder_id>https://doi.org/10.13039/501100001809</funder_id>
        <grant_id>21976030</grant_id>
      </item>
      <item>
        <funder_name>National Natural Science Foundation of China</funder_name>
        <funder_id>https://doi.org/10.13039/501100001809</funder_id>
        <grant_id>21677037</grant_id>
      </item>
      <item>
        <funder_name>Natural Science Foundation of Shanghai</funder_name>
        <funder_id>https://doi.org/10.13039/100007219</funder_id>
        <grant_id>19ZR1471200</grant_id>
      </item>
      <item>
        <funder_name>Natural Science Foundation of Shanghai</funder_name>
        <funder_id>https://doi.org/10.13039/100007219</funder_id>
        <grant_id>17ZR1440200</grant_id>
      </item>
      <item>
        <funder_name>Royal Society</funder_name>
        <funder_id>https://doi.org/10.13039/501100000288</funder_id>
        <grant_id>ICA\R1\201088</grant_id>
        <project_name>International Collaboration Awards of the RS - Clean Air</project_name>
      </item>
    </funding>
    <collection_method>The simulations were performed in Lumerical using finite-difference time-domain. The material models were provided by the software&apos;s material libraries.</collection_method>
    <language>en</language>
    <version>1</version>
    <doi>10.15125/BATH-00996</doi>
    <related_resources>
      <item>
        <link>https://doi.org/10.1016/j.snb.2021.130521</link>
        <type>pub</type>
      </item>
    </related_resources>
    <resourcetype>
      <general>Dataset</general>
    </resourcetype>
  </eprint>
</eprints>
