微晶
成核
材料科学
动力学蒙特卡罗方法
晶界
化学气相沉积
邻接
晶粒生长
动力学
化学物理
物理气相沉积
透射电子显微镜
结晶学
纳米技术
蒙特卡罗方法
复合材料
粒度
薄膜
热力学
微观结构
冶金
化学
物理
统计
数学
有机化学
量子力学
作者
Shuai Chen,Junfeng Gao,M. S. Bharathi,Gang Zhang,Ming Yang,Jianwei Chai,Shijie Wang,Dongzhi Chi,Yong‐Wei Zhang
标识
DOI:10.1021/acsami.9b15654
摘要
Controllable synthesis of MoS2 with desired grain morphology via chemical vapor deposition (CVD) or physical vapor deposition (PVD) remains a challenge. Hence, it is important to understand polycrystalline growth of MoS2 and further provide guidelines for its CVD/PVD growth. Here, we formulate a kinetic Monte Carlo (kMC) model aiming at predicting the grain boundary (GB) formation in the CVD/PVD growth of polycrystalline MoS2. In the kMC model, the grain growth is via kink nucleation and propagation, whose energetic parameters and initial nucleus details are either from first-principles calculations or from experiments. Using the kMC model, we perform extensive simulations to predict the GB formation by using two, three, four, and five initial nuclei and compare the simulation results with previous experimental results. The obtained GB morphologies are in an excellent agreement with those experimental results. These agreements suggest that the proposed kMC model can correctly capture the mechanism and kinetics of GB formation. In particular, we reveal that the formation of smooth/rough GB is dictated by the two growth vectors for the kink propagation at the two associated grain edges, which is validated by our high-resolution scanning transmission electron microscopy images for PVD growth of MoS2 grains. Besides, we have made predictions beyond reproducing experimental observations, including the growth with artificially designed nuclei, the morphology transformation by tuning the Mo and S sources, and the formation of high-quality single-crystalline monolayer MoS2 by using single-crystalline substrates with vicinal steps. Our kMC model may serve as a powerful predictive tool for the CVD/PVD growth of monolayer MoS2 with desired GB configurations.
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