Monte Carlo simulations morphology

Figure 48. Pit morphology calculated by a two-dimensional Monte Carlo simulation,98 (a) polishing-state pit and (b) active-state pit. (Reprinted from R. Reigata, F. Sagues, and J. M. Costa, Monte Carlo simulation of localized corrosion, /. Chem. Phys. 101, 2329, 1994, Figs. 6 and 7. Copyright 1994, American Institute of Physics.)...

Wehrli, B. (1989), "Monte Carlo Simulations of Surface Morphologies During Mineral Dissolution", J. Coll. Int. Sd. 132, 230-242. 

The Peclet number dependence of the soot cake microstructure has important implications for the morphology of the soot (and ash) deposits in the square channels of DPFs, as illustrated in Fig. 29, obtained by a mixed Ordinary Differential Equations (ODE)-Monte Carlo simulation (Rodriguez-Perez et al.,... 

Wehrh B (1989) Monte-Carlo simulations of snrface morphologies dining mineral dissolution. J Colloid Interface Sci 132 230-242... 

Specific results that have been published include the work of Balasz et. al. who have completed extensive self-consistent calculations and Monte Carlo simulations to evaluate the effect of adding copolymers to a blend on the interfacial tension of the biphase. Additionally, Kramer and others have utilized experimental techniques to determine the mechanism of fracture that occurs at a biphasic interface in the presence or absence of copolymer" - Macosko, however, has viewed the problem from an engineering perspective and has examined the role of added copolymer on the blend morphology that results from typical processing condition. 

Pedersen and coworkers [74, 80, 81, 86] have modified Eq. 78 based on Monte Carlo simulation results from chains exhibiting excluded volume effects. Written in terms of a micelle constituted of a A-B block copolymer, this can be written independently of morphology (spherical, ellipsoidal, or cylindrical) ... 

Iwa] Iwamoto, Y, Goto, K., Kuwajima, T., Fukuhara, E., Suwa, Y, Saito, Y, Monte Carlo Simulation of Phase Separation in Iron based Ternary Alloys , Mat. Sci. Forum, 426-432, 1059-1064 (2003) (Morphology, Phase Relations, Caleulation, 10)... 

Fig. 10.16 Surface morphology of a lamellar single crystal of 512-mers grown from semi-dilute solutions in the dynamic Monte Carlo simulations. The view angle favors the exposure of the preferred orientations of fold ends in each sectors separated by the black thick lines (Hu et al. 2003b)...

The dynamic process of dealloying was discussed using Monte Carlo simulations [30, 36, 37]. The dissolution of the less-noble atoms from the topmost surface resulted in steps and kinks, where the coordinated numbers of noble atoms increased. This induced a surface diffusion of noble atoms. The competition between the dissolution rate of less-noble metals and the surface diffusion of noble metals is considered to be a key factor that controls the morphology of the dealloyed product. In bulk alloys, surface diffusion rate of the noble atoms is slow across the extended surface, which causes a Rayleigh surface instability [37] and leads to the formation of nanoporosity. 

Randrianalisoa and Baillis (2008) used Monte Carlo simulation to model heat conduction in porous Si. In their method, an original 3D pore network that reproduces the morphology of mesoporous Si was developed. The nonlinear phonon dispersion curves of Si and the phonon mean-free path dependent on temperature, frequency, and polarization were also considered. The model of steady-state phonon transport through the pore network was simulated. Their results were compared with experimental results of porous Si thin films on a p" -type Si substrate. 

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