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American Physical Society, Physical review E: Statistical, nonlinear, and soft matter physics, 6(92), 2015

DOI: 10.1103/physreve.92.063306

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Event-chain algorithm for the Heisenberg model: Evidence for $z ≃ 1$ dynamic scaling

Journal article published in 2015 by Yoshihiko Nishikawa, Manon Michel, Werner Krauth, Koji Hukushima
This paper is available in a repository.
This paper is available in a repository.

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Abstract

We apply the event-chain Monte Carlo algorithm to the three-dimensional ferromagnetic Heisen-berg model. The algorithm is rejection-free and also realizes an irreversible Markov chain that satisfies global balance. The autocorrelation functions of the magnetic susceptibility and the energy indicate a dynamical critical exponent z ≈ 1 at the critical temperature, while that of the magne-tization does not measure the performance of the algorithm. This seems to be the first report that the event-chain Monte Carlo algorithm substantially reduces the dynamical critical exponent from the conventional value of z ≃ 2.