"Unsupervised machine learning of topological phase transitions from ..."

Niklas Käming et al. (2021)

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DOI: 10.1088/2632-2153/ABFFE7

access: open

type: Journal Article

metadata version: 2023-09-30

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  - https://dblp.org/rec/journals/mlst/KamingDKLSDW21
Niklas Käming, Anna Dawid, Korbinian Kottmann, Maciej Lewenstein, Klaus Sengstock, Alexandre Dauphin, Christof Weitenberg:
Unsupervised machine learning of topological phase transitions from experimental data. Mach. Learn. Sci. Technol. 2(3): 35037 (2021)

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