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首页> 外文期刊>Chemical Engineering Science >Systems tasks in nanotechnology via hierarchical multiscale modeling: Nanopattern formation in heteroepitaxy
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Systems tasks in nanotechnology via hierarchical multiscale modeling: Nanopattern formation in heteroepitaxy

机译:通过分层多尺度建模在纳米技术中的系统任务:异质外延中的纳米图案形成

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摘要

A kinetic phase diagram for two-dimensional nanopattern formation in heteroepitaxy is generated by symbiotically employing deterministic continuum mesoscopic models and coarse-grained Monte Carlo (CGMC) simulations. The phase diagram at submonolayer film thickness is derived in the absence of thermal fluctuations via linear stability analysis of continuum mesoscopic models. The type of nanoscopic patterns, such as discs and stripes, is deduced from nonlinear analysis. The analysis provides for the first time a physical understanding and scaling laws for pattern feature size, shape, and growth times in terms of the interaction potential parameters, substrate temperature, film thickness and material properties. It is concluded that the long-ranged repulsive interaction determines the pattern wavelength, whereas the short-ranged attractive interactions control the temperature for the onset of patterns. The phase diagram is refined by including thermal fluctuations using CGMC simulations. It is shown that thermal fluctuations are responsible for the non-uniformity in pattern shapes and sizes. CGMC simulations indicate that the phase diagrams from mesoscopic equations are reasonably accurate. The role of temperature on the pattern size distributions and inter-feature distance obtained from CGMC is analyzed. It is found that entropy plays an important role in pattern selection. (c) 2007 Elsevier Ltd. All rights reserved.
机译:通过共生使用确定性连续介观介观模型和粗粒度蒙特卡洛(CGMC)模拟,生成异质外延二维纳米图案形成的动力学相图。通过连续介观模型的线性稳定性分析,可以在不存在热波动的情况下得出亚单层膜厚度的相图。纳米图案的类型,例如圆盘和条纹,是从非线性分析中推导出来的。该分析首次提供了关于图案特征尺寸,形状和生长时间的物理理解和缩放定律,涉及相互作用电位参数,基板温度,膜厚度和材料特性。结论是,长距离的排斥相互作用决定了图案的波长,而短距离的吸引力相互作用控制了图案开始的温度。通过使用CGMC仿真包括热波动来完善相图。结果表明,热起伏是造成图案形状和尺寸不均匀的原因。 CGMC仿真表明,介观方程的相图是相当准确的。分析了温度对从CGMC获得的图案尺寸分布和特征间距的作用。发现熵在模式选择中起重要作用。 (c)2007 Elsevier Ltd.保留所有权利。

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