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MODELING OF IONIZED PHYSICAL VAPOR DEPOSITION OF COPPER

机译:铜的电离物理气相沉积模型

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摘要

We use computer simulations to study ionized physical vapor deposition, with ionized magnetron sputter deposition of copper as the primary system of interest. The effects of ion energy and ion angular flux distributions on the evolution of sub-micron features during IPVD are explored using the EVOLVE simulator. Our goal is to develop semi-quantitative engineering relationships that explain the trends in experimental responses to changes in operating conditions. A sticking-factor model is used to describe deposition by neutrals. The sticking-factor of incident Cu atoms can depend on arrival angle and energy. Copper ions can also become part of the growing film. Energy and angular dependent sputter yields for both copper and argon ions are taken alternately from MD simulation results and a semi-empirical model. Sputtered material is ejected from the surface, tracked through the gas phase, and allowed to redeposit. Redeposition is also modeled via a sticking-factor based approach. The redistribution of material results in non-intuitive profiles and complex relationships between final profiles and process parameters, such as sample bias and neutral-to-ion flux ratio.
机译:我们使用计算机模拟来研究电离的物理气相沉积,其中铜的电离磁控溅射沉积是主要的关注系统。使用EVOLVE模拟器探索了离子能量和离子角通量分布对IPVD过程中亚微米特征演变的影响。我们的目标是建立半定量工程关系,以解释实验条件对操作条件变化的趋势。粘附因子模型用于描述中性粒子的沉积。入射铜原子的粘附因子可能取决于入射角和能量。铜离子也可以成为生长膜的一部分。铜离子和氩离子的能量和取决于角度的溅射产量可从MD模拟结果和半经验模型中交替获得。溅射出的材料从表面喷出,通过气相追踪,并使其重新沉积。还可以通过基于黏着因子的方法对再沉积进行建模。材料的重新分布会导致不直观的轮廓,以及最终轮廓和过程参数(例如样品偏置和中性离子通量比)之间的复杂关系。

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