Cuban Sci. 2020, 1(1): 3–4
Published on 20 Apr 2020 PDF (537K)A Monte Carlo from Belén
Rogelio Díaz-Méndez
- Department of Physics, KTH - Royal Institute of Technology, 10691 Stockholm, Sweden
“The Event-Driven Monte Carlo algorithm is introduced. It applies to problems with discrete degrees of freedom accurately finding the temporal evolution at all time scales.”
References
- A. Mendoza-Coto, R. Díaz-Méndez and G. Pupillo, Event-driven Monte Carlo: Exact dynamics at all time scales for discrete-variable models, Europhysics Letters, 114 (2016) 50003.
- M. Leetmaa and N. V. Skorodumova, KMCLib: A general framework for lattice kinetic Monte Carlo (KMC) simulations, Computer Physics Communications, 185 (2014) 2340.
- R. J. Glauber, Time-Dependent Statistics of the Ising Model, Journal of Mathematical Physics 4 (1963) 294.