1988
DOI: 10.1103/physrevlett.61.2635
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New Monte Carlo technique for studying phase transitions

Abstract: We present a new method for using the data from Monte Carlo simulations that can increase the efficiency by 2 or more orders of magnitude. A single Monte Carlo simulation is sufficient to obtain complete thermodynamic information over the entire scaling region near a phase transition. The accuracy of the method is demonstrated by comparison with exact results for the d 2 Ising model. New results for the d 2, eight-state Potts model are also presented. The method is generally applicable to statistical models an… Show more

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Cited by 2,577 publications
(1,840 citation statements)
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References 14 publications
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“…We then repeated the simulation at ω c,N . The multi-histogram method [16] was then used to give data throughout the transition region. The simulations at ω = 3 gave almost identical results to those additionally using the peak data.…”
Section: Resultsmentioning
confidence: 99%
“…We then repeated the simulation at ω c,N . The multi-histogram method [16] was then used to give data throughout the transition region. The simulations at ω = 3 gave almost identical results to those additionally using the peak data.…”
Section: Resultsmentioning
confidence: 99%
“…The absolute pressure was then obtained using the difference between the "weights" of two different thermodynamic states [62]. If the states are characterized by (µ 1 , V, β 1 ) and (µ 2 , V, β 2 ), the pressure is obtained by…”
Section: B µV T Ensemble (Gcmc)mentioning
confidence: 99%
“…The critical properties were obtained using the histogram reweighting [62] method. The histogram reweighting is a technique that allow us to obtain thermodynamic averages of a specific state of system from the trajectory of the other state of system.…”
Section: B µV T Ensemble (Gcmc)mentioning
confidence: 99%
“…We concentrated on the close vicinity of the transition point and applied finite-size scaling (FSS) techniques to extract the exponents and the "renormalized charges" U * 2 and U * 4 . To achieve the desired accuracy of the data in reasonable computer time we applied the single-cluster hybrid algorithm [18] to update the spins and furthermore made extensively use of the re-weighting technique [19]. Previous studies of connectivity disorder focusing mainly on 2D lattices have been realized by Monte Carlo simulations of qstate Potts models on quenched random lattices of VoronoiDelaunay type for q = 2 [20][21][22], q = 3 [23] and q = 8 [24,25].…”
Section: Introductionmentioning
confidence: 99%