scholarly journals Phase Separation and Near-Critical Fluctuations in Two-Component Lipid Membranes: Monte Carlo Simulations on Experimentally Relevant Scales

2011 ◽  
Vol 100 (3) ◽  
pp. 507a
Author(s):  
Jens Ehrig ◽  
Eugene P. Petrov ◽  
Petra Schwille
Keyword(s):  
Monte Carlo ◽  
Phase Separation ◽  
Monte Carlo Simulations ◽  
Lipid Membranes ◽  
Critical Fluctuations ◽  
Two Component

Phase separation in three-component lipid membranes: From Monte Carlo simulations to Ginzburg-Landau equations

2008 ◽  
Vol 128 (2) ◽  
pp. 025102 ◽  
Author(s):  
Ramon Reigada ◽  
Javier Buceta ◽  
Jordi Gómez ◽  
Francesc Sagués ◽  
Katja Lindenberg
Keyword(s):  
Monte Carlo ◽  
Phase Separation ◽  
Monte Carlo Simulations ◽  
Lipid Membranes ◽  
Ginzburg Landau ◽  
Ginzburg Landau Equations

scholarly journals Inside Back Cover: Monte Carlo Simulations of the Phase Separation of a Copolymer Blend in a Thin Film (ChemPhysChem 3/2015)

ChemPhysChem ◽  
2015 ◽  
Vol 16 (3) ◽  
pp. 691-691
Author(s):  
Zhexiao Wang ◽  
Jing Shao ◽  
Heng Pan ◽  
Xiaoshuang Feng ◽  
Peng Chen ◽  
...  
Keyword(s):  
Thin Film ◽  
Monte Carlo ◽  
Phase Separation ◽  
Monte Carlo Simulations ◽  
Back Cover ◽  
Copolymer Blend

scholarly journals Monte Carlo simulations of two-component drop growth by stochastic coalescence

2008 ◽  
Vol 8 (2) ◽  
pp. 7289-7313 ◽  
Author(s):  
L. Alfonso ◽  
G. B. Raga ◽  
D. Baumgardner
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Stochastic Algorithm ◽  
Aerosol Composition ◽  
Particle Charging ◽  
Two Component ◽  
Different Types ◽  
Framework Species ◽  
Stochastic Coalescence ◽  
Good Agreement

Abstract. The evolution of two-dimensional drop distributions is simulated in this study using a Monte Carlo method.~The stochastic algorithm of Gillespie (1976) for chemical reactions in the formulation proposed by Laurenzi et al. (2002) was used to simulate the kinetic behavior of the drop population. Within this framework species are defined as droplets of specific size and aerosol composition. The performance of the algorithm was checked by comparing the numerical with the analytical solutions found by Lushnikov (1975). Very good agreement was observed between the Monte Carlo simulations and the analytical solution. Simulation results are presented for bi-variate constant and hydrodynamic kernels. The algorithm can be easily extended to incorporate various properties of clouds such as including several crystal habits, different types of soluble CCN, particle charging and drop breakup.

Kinetic Monte Carlo simulations of nanocolumn formation in two-component epitaxial growth

2010 ◽  
Vol 96 (7) ◽  
pp. 071913 ◽  
Author(s):  
Shu Zheng ◽  
Wenguang Zhu ◽  
Y. F. Gao ◽  
G. M. Stocks ◽  
Zhenyu Zhang
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Epitaxial Growth ◽  
Kinetic Monte Carlo ◽  
Two Component ◽  
Kinetic Monte Carlo Simulations

Demixing and ordering in Ni(Ti,Zr)(Sb,Sn) half-Heusler materials

2017 ◽  
Vol 19 (45) ◽  
pp. 30695-30702 ◽  
Author(s):  
Joaquin Miranda Mena ◽  
Thomas Gruhn
Keyword(s):  
Density Functional Theory ◽  
Monte Carlo ◽  
Phase Separation ◽  
Monte Carlo Simulations ◽  
Density Functional ◽  
Field Model ◽  
Mean Field ◽  
Study Phase ◽  
Mean Field Model ◽  
Functional Theory

We employed density functional theory, Monte Carlo simulations and a mean field model to study phase separation in thermoelectric Ni(Ti,Zr)(Sb,Sn) half-Heusler materials, simultaneously alloyed in the (Ti,Zr)- and (Sb,Sn) sublattices.

Ordering and phase separation in Ni–Cr–Al: Monte Carlo simulations vs three-dimensional atom probe

1999 ◽  
Vol 47 (6) ◽  
pp. 1889-1899 ◽  
Author(s):  
C. Pareige ◽  
F. Soisson ◽  
G. Martin ◽  
D. Blavette
Keyword(s):  
Monte Carlo ◽  
Phase Separation ◽  
Monte Carlo Simulations ◽  
Three Dimensional ◽  
Atom Probe
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