论文标题

一项针对硝酸和氢氟酸的选择性数字蚀刻硅月经的研究

A Study of Selectively Digital Etching Silicon-Germanium with Nitric and Hydrofluoric Acids

论文作者

Li, Chen, Zhu, Huilong, Zhang, Yongkui, Yin, Xiaogen, Jia, Kunpeng, Li, Junjie, Wang, Guilei, Kong, Zhenzhen, Du, Anyan, Yang, Tengzhi, Zhao, Liheng, Xie, Lu, Ai, Xuezheng, Ma, Shishuai, Li, Yangyang, Radamson, Henry H., Li, Chen, Zhu, Huilong, Zhang, Yongkui, Yin, Xiaogen, Jia, Kunpeng, Li, Junjie, Wang, Guilei, Kong, Zhenzhen, Du, Anyan, Yang, Tengzhi, Zhao, Liheng, Xie, Lu, Ai, Xuezheng, Ma, Shishuai, Li, Yangyang, Radamson, Henry H.

论文摘要

提出了一种数字蚀刻方法,以实现对蚀刻深度的极好控制。研究了P+ SI和SI0.7GE0.3使用HNO3氧化和BOE氧化物去除过程的数字蚀刻特性。实验表明,由于低活化能,氧化随时间饱和。提出了一个物理模型,以描述用硝酸描述湿氧化过程。通过实验数据和氧化饱和时间,最终氧化物厚度以及SI0.7GE0.3和P+ Si之间的选择性校准模型。还研究了层压的Si0.7Ge0.3/p+ Si的数字蚀刻。发现与数字蚀刻周期成比例地发现,在两个SI层之间蚀刻SIGE层形成的隧道深度。氧化也将饱和,每个循环的饱和相对蚀刻量(REPC)为0.5 nm(4个单层)。提出了校正的选择性计算公式。还用SI0.7GE0.3/p+ SI堆栈校准氧化模型,而模型的选择性与校正公式相同。该模型还可以用于分析过程变化和可重复性。它可以作为实验设计的指导。选择性和可重复性应取决于权衡。

A digital etching method was proposed to achieve excellent control of etching depth. The digital etching characteristics of p+ Si and Si0.7Ge0.3 using the combinations of HNO3 oxidation and BOE oxide removal processes were studied. Experiments showed that oxidation saturates with time due to low activation energy. A physical model was presented to describe the wet oxidation process with nitric acid. The model was calibrated with experimental data and the oxidation saturation time, final oxide thickness, and selectivity between Si0.7Ge0.3 and p+ Si were obtained. The digital etch of laminated Si0.7Ge0.3/p+ Si was also investigated. The depth of the tunnels formed by etching SiGe layers between two Si layers was found in proportion to digital etching cycles. And oxidation would also saturate and the saturated relative etched amount per cycle (REPC) was 0.5 nm (4 monolayers). A corrected selectivity calculation formula was presented. The oxidation model was also calibrated with Si0.7Ge0.3/p+ Si stacks, and selectivity from model was the same with the corrected formula. The model can also be used to analyze process variations and repeatability. And it could act as a guidance for experiment design. Selectivity and repeatability should make a trade-off.

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