Software Open Access
Käming, Niklas;
Dawid, Anna;
Kottmann, Korbinian;
Lewenstein, Maciej;
Sengstock, Klaus;
Dauphin, Alexandre;
Weitenberg, Christof
{ "description": "<p>Dataset and scripts for our publication "Unsupervised machine learning of topological phase transitions from experimental data"</p>\n\n<p> </p>\n\n<p>The github can be found here: https://github.com/nkaeming/unsupervised-machine-learning-of-topological-phase-transitions-from-experimental-data</p>", "license": "https://opensource.org/licenses/MIT", "creator": [ { "affiliation": "ILP - Institut f\u00fcr Laserphysik, Universit \u0308at Hamburg,Luruper Chaussee 149, 22761 Hamburg, Germany", "@id": "https://orcid.org/0000-0001-7926-5797", "@type": "Person", "name": "K\u00e4ming, Niklas" }, { "affiliation": "Faculty of Physics, University of Warsaw, Pasteura 5, 02-093 Warsaw, Poland", "@type": "Person", "name": "Dawid, Anna" }, { "affiliation": "ICFO - Institut de Ci`encies Fot`oniques, The Barcelona Institute of Science and Technology, Av. Carl Friedrich Gauss 3, 08860 Castelldefels (Barcelona), Spain", "@type": "Person", "name": "Kottmann, Korbinian" }, { "affiliation": "ICFO - Institut de Ci`encies Fot`oniques, The Barcelona Institute of Science and Technology, Av. Carl Friedrich Gauss 3, 08860 Castelldefels (Barcelona), Spain", "@type": "Person", "name": "Lewenstein, Maciej" }, { "affiliation": "ILP - Institut f\u00fcr Laserphysik, Universit \u0308at Hamburg,Luruper Chaussee 149, 22761 Hamburg, Germany", "@type": "Person", "name": "Sengstock, Klaus" }, { "affiliation": "ICFO - Institut de Ci`encies Fot`oniques, The Barcelona Institute of Science and Technology, Av. Carl Friedrich Gauss 3, 08860 Castelldefels (Barcelona), Spain", "@type": "Person", "name": "Dauphin, Alexandre" }, { "affiliation": "ILP - Institut f\u00fcr Laserphysik, Universit \u0308at Hamburg,Luruper Chaussee 149, 22761 Hamburg, Germany", "@type": "Person", "name": "Weitenberg, Christof" } ], "url": "https://zenodo.org/record/4700379", "datePublished": "2021-01-23", "keywords": [ "machine learning", "quantum gas", "floquet system" ], "@context": "https://schema.org/", "identifier": "https://doi.org/10.5281/zenodo.4700379", "@id": "https://doi.org/10.5281/zenodo.4700379", "@type": "SoftwareSourceCode", "name": "Unsupervised machine learning of topological phase transitions from experimental data" }
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