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Springe zu: Zeitschriftenartikel
Anzahl der Publikationen: 9
Zeitschriftenartikel
Song, Hao; Schoenmeier-Kromer, Janik; Liu, Ke; Viyuela, Oscar; Pollet, Lode und Martin-Delgado, M. A.
(2022):
Optimal Thresholds for Fracton Codes and Random Spin Models with Subsystem Symmetry.
In: Physical Review Letters, Bd. 129, Nr. 23, 230502
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
Rao, Nihal; Liu, Ke; Machaczek, Marc und Pollet, Lode
(2021):
Machine-learned phase diagrams of generalized Kitaev honeycomb magnets.
In: Physical Review Research, Bd. 3, Nr. 3, 33223
Rao, Nihal; Liu, Ke und Pollet, Lode
(2021):
Inferring hidden symmetries of exotic magnets from detecting explicit order parameters.
In: Physical Review E, Bd. 104, Nr. 1, 15311
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
Zhong, Yin; Wang, Qin; Liu, Yu; Song, Hai-Feng; Liu, Ke und Luo, Hong-Gang
(2019):
Finite temperature physics of 1D topological Kondo insulator: Stable Haldane phase, emergent energy scale and beyond.
In: Frontiers of Physics, Bd. 14, Nr. 2, 23602