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    <responseDate>2026-10-12T17:06:10Z</responseDate>
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    <identifier>10.57760/sciencedb.j00124.00456</identifier>
    <datestamp>2026-06-23T19:35:02Z</datestamp>
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  <dc:date>2026-06-23</dc:date>
  <dc:title>Reaction Network Database for Fast Pyrolysis of Vanillyl Alcohol Based on Molecular Wavefunction Descriptors</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.j00124.00456</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>Lignin pyrolysis stands out as a promising avenue for the sustainable production of high-value phenolic chemicals. Nevertheless, unraveling the intricate radical reaction network remains a major bottleneck for optimizing product selectivity. This work constructs a standardized DFT computational database. This dataset systematically maps the fast pyrolysis of vanillyl alcohol at 823.15 K. It features three key components: primary reaction pathways, thermodynamic energy barriers, and atomic-level electronic fingerprints. Ultimately, these insights pave the way for data-driven catalyst discovery and provide a theoretical basis for precise control of lignin depolymerization.</dc:description>
  <dc:subject>lignin; vanillyl alcohol; pyrolysis; phenols; dft</dc:subject>
  <dc:creator>Shi Jingyuan</dc:creator>
  <dc:creator>Li Chenchen</dc:creator>
  <dc:creator>Cheng Xiaoxue</dc:creator>
  <dc:creator>Ling Qifan</dc:creator>
  <dc:creator>Mu Mao</dc:creator>
  <dc:creator>Wang Shuang</dc:creator>
  <dc:creator>Jiang Ding</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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