2005
DOI: 10.1103/physrevlett.95.137208
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Ground States and Thermal States of the Random Field Ising Model

Abstract: The random field Ising model is studied numerically at both zero and positive temperature. Ground states are mapped out in a region of random field and external field strength. Thermal states and thermodynamic properties are obtained for all temperatures using the Wang-Landau algorithm. The specific heat and susceptibility typically display sharp peaks in the critical region for large systems and strong disorder. These sharp peaks result from large domains flipping. For a given realization of disorder, ground … Show more

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Cited by 47 publications
(57 citation statements)
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“…Hence the critical behavior is the same everywhere along the phase boundary and we can predict it simply by staying at T = 0 and crossing the phase boundary at the critical field point. This is a convenient approach because we can determine the ground states of the system exactly using efficient optimization algorithms [53][54][55][56][57][58][59][60][61][62][63][64][65][66]79,[88][89][90][91][92][93] through an existing mapping of the ground state to the maximum-flow optimization problem [94][95][96]. A clear advantage of this approach is the ability to simulate large system sizes and disorder ensembles in rather moderate computational times.…”
Section: Zero-temperature Algorithmmentioning
confidence: 99%
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“…Hence the critical behavior is the same everywhere along the phase boundary and we can predict it simply by staying at T = 0 and crossing the phase boundary at the critical field point. This is a convenient approach because we can determine the ground states of the system exactly using efficient optimization algorithms [53][54][55][56][57][58][59][60][61][62][63][64][65][66]79,[88][89][90][91][92][93] through an existing mapping of the ground state to the maximum-flow optimization problem [94][95][96]. A clear advantage of this approach is the ability to simulate large system sizes and disorder ensembles in rather moderate computational times.…”
Section: Zero-temperature Algorithmmentioning
confidence: 99%
“…Although sophisticated improvements have appeared [48][49][50][51][52], these simulations produced low-accuracy data because they were limited to linear sizes of the order of L max 32. Larger sizes can be achieved at T = 0, through the wellknown mapping of the ground state to the maximum-flow optimization problem [53][54][55][56][57][58][59][60][61][62][63][64][65][66]. Yet, T = 0 simulations lack many tools, standard at T > 0.…”
Section: Introductionmentioning
confidence: 99%
“…This also shows that for each disorder configuration the staggered magnetization changes discontinuously at W c . Such discontinous jumps for bond energy were also reported for 3d RFIM [18,22,34]. The domains of the metastable state in the COP and the domains in ground state of disordered phase are plotted in figure 4 for L=48.…”
Section: Resultsmentioning
confidence: 77%
“…the sim-ulation results in Refs. [58,59,60]) so that one indeed expects to observe cusp behavior in the field dependence of the 2-replica correlation functions. However, important questions are then whether such a phenomenon survives at long distances, e.g.…”
Section: B Renormalization Groupmentioning
confidence: 99%