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@PHDTHESIS{Kischel:987839,
author = {Kischel, Florian},
othercontributors = {Weßel, Stefan and Helias, Moritz},
title = {{P}hase transitions in classical systems : anisotropic
models, computational methods, and universality predictions},
school = {RWTH Aachen University},
type = {Dissertation},
address = {Aachen},
publisher = {RWTH Aachen University},
reportid = {RWTH-2024-05870},
pages = {1 Online-Ressource : Illustrationen},
year = {2024},
note = {Veröffentlicht auf dem Publikationsserver der RWTH Aachen
University; Dissertation, RWTH Aachen University, 2024},
abstract = {This thesis is mostly concerned with phase transitions in
classical systems, with a focus on the anisotropic Ising
model in two dimensions and on parallelogram lattices. After
first discussing the history of phase transitions and
specifically how anisotropies were treated in the
renormalization group approach, an introduction to
multi-parameter universality is given. This is followed by a
derivation, using anti-commuting Grassmann variables, of the
exact solution of the fully anisotropic 2d Ising model on a
finite parallelogram lattice for all temperatures and
couplings; from there, the scaling function near the
critical point in the ferromagnetic regime is recovered.
Additionally, some predictions made by multi-parameter
universality regarding non-universal prefactors, modular
invariance and behavior at criticality are confirmed.
Finally, the strip limit of the model is discussed and
connections to previous results of more restricted cases are
made. In the next chapter, the investigation of anisotropic
systems in 2d is continued, now by discussing the q-state
Potts model and attempting to measure its angle dependent
correlation lengths, a characterizing quantity according to
multi-parameter universality, via an tensor network
approach. More specifically, the Corner Transfer Matrix
Renormalization Group (CTMRG) algorithm is used to
numerically extract the quantities of interest. A range of
checks and comparisons to the few exactly known results are
made to ensure a continued high accuracy of the simulation
method. Finally, the discrete to continuous crossover
behavior in a modified 3d clock model, a relative of the
Potts model, is investigated. This model exhibits a first
order phase transition between an ordered and disordered
phase and, based on prior work, predictions can be made for
how much the phases contribute at the transition point when
the clock has either three different states or, on the other
extreme, infinitely many. This behavior is simulated at and
between these extremes using the Wang-Landau Monte Carlo
algorithm, which is very well suited for systems that
exhibit complicated energy distributions, as present near
and at first order phase transitions. A wide range of system
sizes are simulated and care is taken to carefully determine
the bulk transition temperature on which the accuracy of the
final results depends very crucially.},
cin = {135620 / 130000},
ddc = {530},
cid = {$I:(DE-82)135620_20140620$ / $I:(DE-82)130000_20140620$},
typ = {PUB:(DE-HGF)11},
doi = {10.18154/RWTH-2024-05870},
url = {https://publications.rwth-aachen.de/record/987839},
}