动力学蒙特卡罗方法
蒙特卡罗方法
沉积(地质)
动能
化学气相沉积
动态蒙特卡罗方法
统计物理学
材料科学
蒙特卡罗分子模拟
直接模拟蒙特卡罗
航程(航空)
化学物理
纳米技术
化学
马尔科夫蒙特卡洛
物理
古生物学
统计
量子力学
复合材料
沉积物
数学
生物
作者
Corbett Chandler. Battaile,David J. Srolovitz
标识
DOI:10.1146/annurev.matsci.32.012102.110247
摘要
▪ Abstract The kinetic Monte Carlo method is a powerful tool for exploring the evolution and properties of a wide range of problems and systems. Kinetic Monte Carlo is ideally suited for modeling the process of chemical vapor deposition, which involves the adsorption, desorption, evolution, and incorporation of vapor species at the surface of a growing film. Deposition occurs on a time scale that is generally not accessible to fully atomistic approaches such as molecular dynamics, whereas an atomically resolved Monte Carlo method parameterized by accurate chemical kinetic data is capable of exploring deposition over long times (min) on large surfaces (mm 2 ). There are many kinetic Monte Carlo approaches that can simulate chemical vapor deposition, ranging from coarse-grained model systems with hypothetical input parameters to physically realistic atomic simulations with accurate chemical kinetic input. This article introduces the kinetic Monte Carlo technique, reviews some of the major approaches, details the construction and implementation of the method, and provides an example of its application to a technologically relevant deposition system.
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