Spatial Correlations in Monte Carlo Criticality Simulations

Author(s):  
E. Dumonteil ◽  
F. Malvagi ◽  
A. Zoia ◽  
A. Mazzolo ◽  
D. Artusio ◽  
...  
2016 ◽  
Vol 94 ◽  
pp. 856-868 ◽  
Author(s):  
Michel Nowak ◽  
Jilang Miao ◽  
Eric Dumonteil ◽  
Benoit Forget ◽  
Anthony Onillon ◽  
...  

1992 ◽  
Vol 82 (4) ◽  
pp. 645-648
Author(s):  
P. Sobkowicz ◽  
Z. Wilamowski ◽  
J. Kossut

1991 ◽  
Vol 02 (01) ◽  
pp. 468-474
Author(s):  
W. SCHLEIER ◽  
G. BESOLD ◽  
K. HEINZ

We study the applicability of parallelized Monte Carlo algorithms to the simulation of domain growth in 2-dim. lattice gas models after a quench into an ordered phase. Conventional parallelized algorithms with KAWASAKI dynamics introduce artificial spatial correlations into the system. However, only if superstructure domains evolve, these correlations will modify the kinetics by influencing the nucleation process and result in a reduced kinetic exponent. Two improved algorithms with slightly reduced degree of parallelism suitable for simulation of superstructure domain growth are presented and discussed.


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