Software Open Access

Unsupervised machine learning of topological phase transitions from experimental data

Käming, Niklas; Dawid, Anna; Kottmann, Korbinian; Lewenstein, Maciej; Sengstock, Klaus; Dauphin, Alexandre; Weitenberg, Christof


DataCite XML Export

<?xml version='1.0' encoding='utf-8'?>
<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd">
  <identifier identifierType="DOI">10.5281/zenodo.4700379</identifier>
  <creators>
    <creator>
      <creatorName>Käming, Niklas</creatorName>
      <givenName>Niklas</givenName>
      <familyName>Käming</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-7926-5797</nameIdentifier>
      <affiliation>ILP - Institut für Laserphysik, Universit ̈at  Hamburg,Luruper  Chaussee 149, 22761 Hamburg, Germany</affiliation>
    </creator>
    <creator>
      <creatorName>Dawid, Anna</creatorName>
      <givenName>Anna</givenName>
      <familyName>Dawid</familyName>
      <affiliation>Faculty of Physics, University of Warsaw, Pasteura 5, 02-093 Warsaw, Poland</affiliation>
    </creator>
    <creator>
      <creatorName>Kottmann, Korbinian</creatorName>
      <givenName>Korbinian</givenName>
      <familyName>Kottmann</familyName>
      <affiliation>ICFO - Institut de Ci`encies Fot`oniques, The Barcelona Institute of Science and Technology, Av. Carl Friedrich Gauss 3, 08860 Castelldefels (Barcelona), Spain</affiliation>
    </creator>
    <creator>
      <creatorName>Lewenstein, Maciej</creatorName>
      <givenName>Maciej</givenName>
      <familyName>Lewenstein</familyName>
      <affiliation>ICFO - Institut de Ci`encies Fot`oniques, The Barcelona Institute of Science and Technology, Av. Carl Friedrich Gauss 3, 08860 Castelldefels (Barcelona), Spain</affiliation>
    </creator>
    <creator>
      <creatorName>Sengstock, Klaus</creatorName>
      <givenName>Klaus</givenName>
      <familyName>Sengstock</familyName>
      <affiliation>ILP - Institut für Laserphysik, Universit ̈at  Hamburg,Luruper  Chaussee 149, 22761 Hamburg, Germany</affiliation>
    </creator>
    <creator>
      <creatorName>Dauphin, Alexandre</creatorName>
      <givenName>Alexandre</givenName>
      <familyName>Dauphin</familyName>
      <affiliation>ICFO - Institut de Ci`encies Fot`oniques, The Barcelona Institute of Science and Technology, Av. Carl Friedrich Gauss 3, 08860 Castelldefels (Barcelona), Spain</affiliation>
    </creator>
    <creator>
      <creatorName>Weitenberg, Christof</creatorName>
      <givenName>Christof</givenName>
      <familyName>Weitenberg</familyName>
      <affiliation>ILP - Institut für Laserphysik, Universit ̈at  Hamburg,Luruper  Chaussee 149, 22761 Hamburg, Germany</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Unsupervised machine learning of topological phase transitions from experimental data</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2021</publicationYear>
  <subjects>
    <subject>machine learning</subject>
    <subject>quantum gas</subject>
    <subject>floquet system</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2021-01-23</date>
  </dates>
  <resourceType resourceTypeGeneral="Software"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/4700379</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="arXiv" relationType="IsCitedBy">arXiv:2101.05712</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.4459310</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://opensource.org/licenses/MIT">MIT License</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;Dataset and scripts for our publication &amp;quot;Unsupervised machine learning of topological phase transitions from experimental data&amp;quot;&lt;/p&gt;

&lt;p&gt;&amp;nbsp;&lt;/p&gt;

&lt;p&gt;The github can be found here:&amp;nbsp;https://github.com/nkaeming/unsupervised-machine-learning-of-topological-phase-transitions-from-experimental-data&lt;/p&gt;</description>
  </descriptions>
</resource>
242
71
views
downloads
All versions This version
Views 242120
Downloads 7130
Data volume 31.4 GB10.7 GB
Unique views 200107
Unique downloads 5223

Share

Cite as