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    <identifier>10.57760/sciencedb.j00186.01012</identifier>
    <datestamp>2026-05-06T13:44:58Z</datestamp>
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  <dc:date>2026-05-06</dc:date>
  <dc:title>Dataset for $^{239$Pu(n,f) cross sections via Multi-Scale Deep Learning</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.j00186.01012</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset consists of two parts. The first part contains data from the ENDF/B-VIII $^{239}$Pu(n,f) reaction cross section, trained using the Multi-Scale DNN method and the Couple Phase Shift DNN method. The second part contains experimental data from the EXFOR $^{239}$Pu(n,f) reaction cross section, trained using the Multi-Scale DNN method.</dc:description>
  <dc:subject>Multi-Scale Deep Neural Network; 239Pu(n f) resonance cross section; nuclear data evaluation</dc:subject>
  <dc:creator>邢康</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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