J. Greitemann

Investigation of hidden multipolar spin order in frustrated magnets using interpretable machine learning techniques

J. Greitemann, 2019 .

Lecture notes on Diagrammatic Monte Carlo for the Fröhlich polaron

J. Greitemann, L. Pollet, 2017, SciPost Physics Lecture Notes.

Generic first-order phase transitions between isotropic and orientational phases with polyhedral symmetries.

J. Greitemann, L. Pollet, Ke Liu, 2017, Physical review. E.

Revealing the Phase Diagram of Kitaev Materials by Machine Learning: Cooperation and Competition between Spin Liquids pdf

Ke Liu, Jonas Greitemann, Lode Pollet, 2020, Physical Review Research.

Probing hidden spin order with interpretable machine learning

Ke Liu, Jonas Greitemann, Lode Pollet, 2018, Physical Review B.

Finite-size effects in Luther-Emery phases of Holstein and Hubbard models

S. Wessel, J. Greitemann, F. Assaad, 2015, 1510.07454.

The view of TK-SVM on the phase hierarchy in the classical kagome Heisenberg antiferromagnet

J. Greitemann, L. Pollet, Ke Liu, 2020, Journal of physics. Condensed matter : an Institute of Physics journal.

Learning multiple order parameters with interpretable machines

Ke Liu, Jonas Greitemann, Lode Pollet, 2018, Physical Review B.

Identification of emergent constraints and hidden order in frustrated magnets using tensorial kernel methods of machine learning

Ke Liu, Jonas Greitemann, Lode Pollet, 2019, Physical Review B.