Monte Carlo Simulations

Part of the Materials Science book series (SSMATERIALS, volume 108)

We begin the discussion of discrete models in thin film growth with Monte Carlo (MC) modeling methods. In general, MC methods rely on introducing a stimulus to a system in a somewhat random fashion, with the aim of discerning the general behavior of the system by averaging over the random process. This method is often used when more concrete numerical methods are unavailable or impractical.


Monte Carlo Monte Carlo Algorithm Monte Carlo Model Cumulative Density Function Binomial Process 
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© Springer-Verlag Berlin Heidelberg 2008

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