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.
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© 2008 Springer-Verlag Berlin Heidelberg
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(2008). Monte Carlo Simulations. In: Evolution of Thin Film Morphology. Materials Science, vol 108. Springer, New York, NY. https://doi.org/10.1007/978-0-387-75109-2_7
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DOI: https://doi.org/10.1007/978-0-387-75109-2_7
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-75108-5
Online ISBN: 978-0-387-75109-2
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