Dynamics of capillary condensation in lattice gas models of confined fluids: A comparison of dynamic mean field theory with dynamic Monte Carlo simulations

2013 ◽  
Vol 138 (23) ◽  
pp. 234709 ◽  
Author(s):  
John R. Edison ◽  
Peter A. Monson
2011 ◽  
Vol 83 (16) ◽  
Author(s):  
Lode Pollet ◽  
Nikolay V. Prokof’ev ◽  
Boris V. Svistunov

2002 ◽  
Vol 13 (08) ◽  
pp. 1017-1031 ◽  
Author(s):  
K. MALARZ ◽  
S. KACZANOWSKA ◽  
K. KUŁAKOWSKI

Dynamic mean field theory is applied to the problem of forest fires. The starting point is the Monte Carlo simulation in a lattice of a million cells. The statistics of the clusters is obtained by means of the Hoshen–Kopelman algorithm. We get the map pn → pn + 1, where pn is the probability of finding a tree in a cell, and n is the discrete time. We demonstrate that the time evolution of p is chaotic. The arguments are provided by the calculation of the bifurcation diagram and the Lyapunov exponent. The bifurcation diagram reveals several windows of stability, including periodic orbits of length three, five and seven. For smaller lattices, the results of the iteration are in qualitative agreement with the statistics of the forest fires in Canada in the years 1970–2000.


2014 ◽  
Vol 16 (26) ◽  
pp. 13383-13389 ◽  
Author(s):  
Xinru Li ◽  
Ying Dai ◽  
Yandong Ma ◽  
Baibiao Huang

The electronic and magnetic properties of d-electron-based Dirac systems are studied by combining first-principles with mean field theory and Monte Carlo approaches.


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