成核
星团(航天器)
动力学蒙特卡罗方法
蒙特卡罗方法
动能
热力学
同种类的
经典成核理论
统计物理学
化学
吉布斯自由能
纳米颗粒
相(物质)
化学物理
材料科学
纳米技术
物理
统计
数学
有机化学
量子力学
计算机科学
程序设计语言
作者
Seyyed Ali Davari,Dibyendu Mukherjee
出处
期刊:Aiche Journal
[Wiley]
日期:2017-08-12
卷期号:64 (1): 18-28
被引量:25
摘要
We present a free‐energy driven kinetic Monte Carlo model to simulate homogeneous nucleation of metal nanoparticles (NPs) from vapor phase. The model accounts for monomer‐cluster condensations, cluster–cluster collisions, and cluster evaporations simultaneously. Specifically, we investigate the homogeneous nucleation of Al NPs starting with different initial background temperatures. Our results indicate good agreement with earlier phenomenological studies using the Gibbs# free energy formulation from Classical Nucleation Theory (CNT). Furthermore, nucleation rates for various clusters are calculated through direct cluster observations. The steady‐state nucleation rate estimated using two different approaches namely, the Yasuoka‐Matsumoto (YM) and mean first passage time (MFPT) methods indicate excellent agreement with each other. Finally, our simulation results depict the expected increase in the entropy of mixing as clusters approach the nucleation barrier, followed by its subsequent drastic loss after the critical cluster formation resulting from first‐order phase transitions. © 2017 American Institute of Chemical Engineers AIChE J , 63: 18–28, 2018
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