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@INPROCEEDINGS{Assaad:874420,
      author       = {Assaad, Fakher F.},
      title        = {{N}umerical {S}imulations of {S}trongly {C}orrelated
                      {E}lectron {S}ystems},
      volume       = {50},
      address      = {Jülich},
      publisher    = {Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag},
      reportid     = {FZJ-2020-01430},
      series       = {Publication Series of the John von Neumann Institute for
                      Computing (NIC) NIC Series},
      pages        = {265 - 273},
      year         = {2020},
      comment      = {NIC Symposium 2020},
      booktitle     = {NIC Symposium 2020},
      abstract     = {The richness of emergent phenomena that stem from the
                      fundamental laws of quantum mechanics is astonishing.
                      Topology, inherent to the integer Hall effect and Chern
                      insulators, allows us to understand why a dirty
                      two-dimensional electron gas can provide the most precise
                      determination of fundamental constants. Electron
                      correlations lead to the notion of fractionalisation and
                      associated emergent lattice gauge theories widely studied in
                      high energy physics. Finally, quantum engineering leads to
                      amazing possibilities for designing novel materials and
                      nano-structures that may very well define the building
                      blocks of information technologies beyond silicon. Given
                      this fascinating richness of phenomena, the natural question
                      to ask for a numerically oriented researcher is: can one
                      develop a flexible and efficient program package that allows
                      one to define and simulate, at minimal programming cost, a
                      wide set of model Hamiltonians? We have recently written an
                      open source library, coined Algorithms for Lattice Fermions
                      (ALF) that allows us to study a large variety of designer
                      and realistic models. In this article, we will summarise
                      aspects of the ALF-library, demonstrate its range of
                      application and then concentrate on the case study of
                      fractionalisation in a Falicov-Kimball model.},
      month         = {Feb},
      date          = {2020-02-27},
      organization  = {NIC Symposium 2020, Jülich (Germany),
                       27 Feb 2020 - 28 Feb 2020},
      cin          = {NIC},
      cid          = {I:(DE-Juel1)NIC-20090406},
      pnm          = {899 - ohne Topic (POF3-899)},
      pid          = {G:(DE-HGF)POF3-899},
      typ          = {PUB:(DE-HGF)8 / PUB:(DE-HGF)7},
      url          = {https://juser.fz-juelich.de/record/874420},
}