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  <contributors>
    <authors>
      <author>Pütz, Felix</author>
      <author>Henrich, Manuel David</author>
      <author>Fehlemann, Niklas Christian</author>
      <author>Roth, Andreas</author>
      <author>Münstermann, Sebastian</author>
    </authors>
    <subsidiary-authors>
      <author>522520</author>
      <author>520000</author>
    </subsidiary-authors>
  </contributors>
  <titles>
    <title>Generating Input Data for Microstructure Modelling : A Deep Learning Approach Using Generative Adversarial Networks</title>
    <secondary-title>Materials</secondary-title>
  </titles>
  <periodical>
    <full-title>Materials</full-title>
  </periodical>
  <publisher>MDPI</publisher>
  <pub-location>Basel</pub-location>
  <isbn>1996-1944</isbn>
  <electronic-resource-num>10.3390/ma13194236</electronic-resource-num>
  <language>English</language>
  <pages>4236</pages>
  <number>19</number>
  <volume>13</volume>
  <abstract/>
  <notes/>
  <label>0, ; PUB:(DE-HGF)16, ; </label>
  <keywords/>
  <accession-num>WOS:000586521900001</accession-num>
  <work-type>Journal Article</work-type>
  <dates>
    <pub-dates>
      <year>2020</year>
    </pub-dates>
  </dates>
  <accession-num>RWTH-2020-11475</accession-num>
  <year>2020</year>
  <urls>
    <related-urls>
      <url>https://publications.rwth-aachen.de/record/807596</url>
      <url>https://doi.org/10.3390/ma13194236</url>
      <url>&lt;Go to ISI&gt;://WOS:000586521900001</url>
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