1975
DOI: 10.1016/0021-9991(75)90060-1
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A new algorithm for Monte Carlo simulation of Ising spin systems

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Cited by 2,183 publications
(1,656 citation statements)
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“…In the AKMC approach, the evolution of the system is modeled as a sequence of vacancy jumps occurring at a rate C ¼ m expðÀE a =k B TÞ, where m is the attempt frequency and E a is the vacancy migration energy. At each jump, the time step is estimated through the residence time algorithm [15].…”
Section: Akmc Algorithmmentioning
confidence: 99%
“…In the AKMC approach, the evolution of the system is modeled as a sequence of vacancy jumps occurring at a rate C ¼ m expðÀE a =k B TÞ, where m is the attempt frequency and E a is the vacancy migration energy. At each jump, the time step is estimated through the residence time algorithm [15].…”
Section: Akmc Algorithmmentioning
confidence: 99%
“…However, the usual tacit assumption that is presented: that M commutes with t, is only strictly true in the large volume limit. In a rigorous sense, the continuous-time method is a nonequilibrium Monte Carlo method [19], as we have presented it here, where the noncommutativity of M and t can be realised in the numerical simulation of a finite system.…”
Section: B Continuous-timementioning
confidence: 99%
“…Therefore, as is used explicitly in [15], using this approach it is possible to interchange, t, with, M, and to define the lattice partition via the with respect to a trace operation defined over the length of the Markov chain, rather than with respect to Euclidean-time. A formal definition of the continuous-time properties of the general continuous-time Monte Carlo method is given in [19], and it is explained in detail how, t, and, M, can be interchanged in a general…”
Section: B Continuous-timementioning
confidence: 99%
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