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Anzahl der Publikationen: 6
Zeitschriftenartikel
Greitemann, Jonas; Liu, Ke und Pollet, Lode
(2021):
The view of TK-SVM on the phase hierarchy in the classical kagome Heisenberg antiferromagnet.
In: Journal of Physics-Condensed Matter, Bd. 33, Nr. 5, 54002
Liu, Ke; Sadoune, Nicolas; Rao, Nihal; Greitemann, Jonas und Pollet, Lode
(2021):
Revealing the phase diagram of Kitaev materials by machine learning: Cooperation and competition between spin liquids.
In: Physical Review Research, Bd. 3, Nr. 2, 23016
Greitemann, Jonas; Liu, Ke; Jaubert, Ludovic D. C.; Yan, Han; Shannon, Nic und Pollet, Lode
(2019):
Identification of emergent constraints and hidden order in frustrated magnets using tensorial kernel methods of machine learning.
In: Physical Review B, Bd. 100, Nr. 17, 174408
Liu, Ke; Greitemann, Jonas und Pollet, Lode
(2019):
Learning multiple order parameters with interpretable machines.
In: Physical Review B, Bd. 99, Nr. 10, 104410
Greitemann, Jonas; Liu, Ke und Pollet, Lode
(2019):
Probing hidden spin order with interpretable machine learning.
In: Physical Review B, Bd. 99, Nr. 6, 060404
Greitemann, Jonas und Pollet, Lode
(2018):
Generic first-order phase transitions between isotropic and orientational phases with polyhedral symmetries.
In: Physical Review E, Bd. 97, Nr. 1, 12706