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    <responseDate>2026-10-12T05:29:41Z</responseDate>
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    <datestamp>2026-09-03T14:19:30Z</datestamp>
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  <dc:date>2026-09-03</dc:date>
  <dc:title>Machine-Learned Structural Order and the Lindemann Criterion</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.j00345.00003</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This repository contains the data-generation scripts, vibration/RDF analysis scripts, trained 3D CNN model, and training notebook used for the Lindemann criterion study of BCC, FCC, SCC, and random/disordered structures.This is a duplication of https://github.com/hanchen2000/lindemann</dc:description>
  <dc:subject>indemann criterion; 3D convolutional neural networks; structure order detection; machine learn- ing; lattice vibration</dc:subject>
  <dc:creator>Han Chen</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://mit-license.org</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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