薄脆饼
材料科学
硅
研磨
基质(水族馆)
光电子学
信号(编程语言)
半导体
灵敏度(控制系统)
激光器
分辨率(逻辑)
光学
电子工程
计算机科学
复合材料
工程类
人工智能
地质学
程序设计语言
物理
海洋学
作者
Jingfei Yin,Qian Bai,Bi Zhang
标识
DOI:10.1016/j.mssp.2022.106570
摘要
Silicon is the primary substrate material in the semiconductor industry. Since surface integrity of a silicon wafer is crucial to the performance of an IC chip made of the wafer, the subsurface damage (SSD) induced by machining to a silicon wafer has been intensively investigated. However, detecting SSD is a challenge due to a lack of an effective method. This study presents a novel method, the polarized laser scattering (PLS) method, for detecting SSD in ground silicon wafers. A PLS system is established to detect the grinding-induced SSD which is also evaluated by the destructive methods. The study shows that the PLS signal is sensitive to the SSD depth with a detection resolution of approximately 0.1 μm. In addition, the detectability of the PLS method is demonstrated and a relationship between the PLS signal and SSD depth is established to facilitate the practical applications of the PLS method.
科研通智能强力驱动
Strongly Powered by AbleSci AI