Software Open Access
Käming, Niklas;
Dawid, Anna;
Kottmann, Korbinian;
Lewenstein, Maciej;
Sengstock, Klaus;
Dauphin, Alexandre;
Weitenberg, Christof
<?xml version='1.0' encoding='utf-8'?> <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" 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:creator>Käming, Niklas</dc:creator> <dc:creator>Dawid, Anna</dc:creator> <dc:creator>Kottmann, Korbinian</dc:creator> <dc:creator>Lewenstein, Maciej</dc:creator> <dc:creator>Sengstock, Klaus</dc:creator> <dc:creator>Dauphin, Alexandre</dc:creator> <dc:creator>Weitenberg, Christof</dc:creator> <dc:date>2021-01-23</dc:date> <dc:description>Dataset and scripts for our publication "Unsupervised machine learning of topological phase transitions from experimental data" The github can be found here: https://github.com/nkaeming/unsupervised-machine-learning-of-topological-phase-transitions-from-experimental-data</dc:description> <dc:identifier>https://zenodo.org/record/4700379</dc:identifier> <dc:identifier>10.5281/zenodo.4700379</dc:identifier> <dc:identifier>oai:zenodo.org:4700379</dc:identifier> <dc:relation>arxiv:arXiv:2101.05712</dc:relation> <dc:relation>doi:10.5281/zenodo.4459310</dc:relation> <dc:rights>info:eu-repo/semantics/openAccess</dc:rights> <dc:rights>https://opensource.org/licenses/MIT</dc:rights> <dc:subject>machine learning</dc:subject> <dc:subject>quantum gas</dc:subject> <dc:subject>floquet system</dc:subject> <dc:title>Unsupervised machine learning of topological phase transitions from experimental data</dc:title> <dc:type>info:eu-repo/semantics/other</dc:type> <dc:type>software</dc:type> </oai_dc:dc>
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