Reactive Force Field Molecular Dynamics Studies of the Initial Growth of Boron Nitride Using BCl3 and NH3 by Atomic Layer Deposition

雷亚克夫 原子层沉积 氮化硼 薄膜 分子动力学 表面扩散 化学 解吸 岛屿生长 薄脆饼 化学物理 材料科学 纳米技术 化学工程 分析化学(期刊) 吸附 计算化学 图层(电子) 物理化学 原子间势 有机化学 外延 工程类
作者
Naoya Uene,Takuya Mabuchi,Masaru Zaitsu,Shigeo Yasuhara,Adri C. T. van Duin,Takashi Tokumasu
出处
期刊:Journal of Physical Chemistry C [American Chemical Society]
卷期号:128 (3): 1075-1086 被引量:12
标识
DOI:10.1021/acs.jpcc.3c06704
摘要

A new ReaxFF reactive force field for the atomic layer deposition (ALD) of boron nitride (BN) thin film growth using BCl3 and NH3 has been developed, and the initial stage of the BN growth is numerically demonstrated by ReaxFF reactive force field-based molecular dynamics (ReaxFF MD). Based on density functional theory, the ReaxFF parameters were carefully trained to describe BCl3 geometries and simulate surface reactions with BCl3 and NH3, forming BN films and HCl. The ALD process was simulated by repeating four steps: (1) BCl3 pulse, (2) first purge, (3) NH3 pulse, and (4) second purge. The film growth simulation indicates that BN thin films are grown through five steps: (i) BCl3/NH3 surface diffusion, (ii) BN cluster formation/growth, (iii) HCl formation, (iv) HCl surface diffusion, and (v) HCl desorption. Through the 5 cycles of ALD simulation, we found a mixed growth mechanism of three-dimensional growth in the form of clusters and two-dimensional growth in the form of thin films. The substrate temperature strongly affects the initial growth behavior and the resulting thickness of the BN thin film. A moderate temperature favors the formation and growth of BN clusters, while too high temperature hinders the growth of thin films because of the desorption of gas molecules and BN clusters on the surface. Through our simulation, we show that the ReaxFF MD is capable of approaching nanoscale surface reactions and clarifying the mechanisms of ALD with an atomic scale, which should be a powerful method to realize a wafer-scale ALD simulation by combining with macroscale methods.
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