<?xml version="1.0" encoding="UTF-8"?>

<?xml-stylesheet type="text/xsl" href="/static/oaitohtml.xsl"?>

<!--
<?xml-stylesheet type="text/xsl" href="/oaitohtml.xsl"?>
-->

<OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
    <responseDate>2026-10-13T01:57:09Z</responseDate>
    <request verb="GetRecord" metadataPrefix="oai_dc" identifier="10.57760/sciencedb.j00113.00125" >https://www.scidb.cn/oai</request>
<GetRecord>
    <record>
    <header >
    <identifier>10.57760/sciencedb.j00113.00125</identifier>
    <datestamp>2024-10-22T11:03:45Z</datestamp>
</header>
    <metadata>
        
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:date>2024-10-22</dc:date>
  <dc:title>The data of the article &amp;quot;A hybrid method integrating Green's function Monte Carlo and projected entangled pair states&amp;quot;</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.j00113.00125</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This code introduces a hybrid approach combining Green&amp;rsquo;s function Monte Carlo (GFMC) methodwith projected entangled pair state (PEPS) ansatz.</dc:description>
  <dc:subject>projected entangled pair states; Green’s function Monte Carlo; Heisenberg model</dc:subject>
  <dc:creator>He-Yu Lin</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://api.github.com/licenses/agpl-3.0</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:relation>http://www.doi.org/10.1088/1674-1056/ad84c9</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
</oai_dc:dc>

    </metadata>
</record>
</GetRecord>
</OAI-PMH>