Theoretical Nanophysics
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2019

    • J. Greitemann, K. Liu, L. D. C. Jaubert, H. Yan, N. Shannon and L. Pollet
      Identification of emergent constraints and hidden order in frustrated magnets using tensorial kernel methods of machine learning
      Phys. Rev. B 100, 174408 (2019)
    • G. Salomon, J. Koepsell, J. Vijayan, T. A. Hilker, J. Nespolo, L. Pollet, I. Bloch, and C. Gross
      Direct observation of incommensurate magnetism in Hubbard chains
      Nature Vol 565, nr 7737, p 56-60 (2019)
    • J. Greitemann, K. Liu, and L. Pollet
      Probing Hidden Spin Order with Interpretable Machine Learning
      Phys. Rev. B 99, 060404(R) (2019)
    • K. Liu, J. Greitemann, and L. Pollet
      Learning multiple order parameters with interpretable machines
      Phys. Rev. B 99, 104410 (2019)
    • T. Pfeffer, Z. Yao, and L. Pollet
      Strong Randomness criticality in the scratched-XY model
      Phys. Rev. B 99, 104514 (2019)
    • P. Kumar, T. I. Vanhala, and P. Törmä
      Magnetization, d-wave superconductivity and non-Fermi liquid behavior in a crossover from dispersive to flat bands
      Phys. Rev. B 100, 125141 (2019)
    • L. Pollet
      Nature News & Views: Quantum Gases show flashes of a Supersolid
      Nature Vol. 569, p4894 (2019)
    • A. S. Mishcenko, L. Pollet, N. V. Prokof'ev, A. Kumar, D. L. Maslov, and N. Nagaosa
      Polaron mobility in the "beyond quasiparticles" regime
      Phys. Rev. Lett. 123, 076601 (2019)