Published January 23, 2021
| Version v1
Software
Open
Unsupervised machine learning of topological phase transitions from experimental data
Creators
- 1. ILP - Institut für Laserphysik, Universit ̈at Hamburg,Luruper Chaussee 149, 22761 Hamburg, Germany
- 2. Faculty of Physics, University of Warsaw, Pasteura 5, 02-093 Warsaw, Poland
- 3. ICFO - Institut de Ci`encies Fot`oniques, The Barcelona Institute of Science and Technology, Av. Carl Friedrich Gauss 3, 08860 Castelldefels (Barcelona), Spain
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
Files
zenodo_submission.zip
Files
(667.1 MB)
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md5:3de0ca319405dfb4bf32f30f2d3bf81e
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md5:d19e48fce469af96b2be582f63d770c4
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Additional details
Related works
- Is cited by
- arXiv:2101.05712 (arXiv)