化学机械平面化
计算机科学
平面度测试
生产线后端
与非门
炸薯条
根本原因
实体造型
抛光
可靠性工程
机械工程
逻辑门
工程类
互连
算法
人工智能
计算机网络
电信
化学
结晶学
作者
Yang Li,Jinxin Li,Peng Jiang,Luming Fan,Aman Zheng,Sicong Wang,Guangyi Wang,Chunshan Du,Zhengfang Liu,Ruben Ghulghazaryan,Qijian Wan,Xinyi Hu
摘要
Chemical-mechanical polishing (CMP) is a key process that reduces chip topography variation during manufacturing. Any variation outside of specifications can cause hotspots, which negatively impact yield. As technology moves forward, especially in memory processes like 3D NAND, high-quality surface planarity is required to overcome manufacturing challenges in each process step. Any topography variation in the front-end-of-line (FEOL) must be taken into consideration, as it may dramatically impact the surface planarity achieved by subsequent manufacturing steps. Rule-based checking of the design is not sufficient to discover all potential CMP hotspots. An accurate FEOL CMP model is necessary to predict design-induced CMP hotspots and optimize the use of dummy fill to alleviate manufacturing challenges. While back-end-of-line (BEOL) CMP modeling technology has matured in recent years, FEOL CMP modeling is still facing multiple challenges. This paper describes how an accurate FEOL CMP model may be built, and how interlayer dielectric (ILD) layer CMP simulations may be used for 3D NAND design improvement. In the example of ILD CMP model validation for a 3D NAND product, it is shown that the model predictions match well with the silicon data and that the model may successfully be used for hotspot prediction in production designs prior to manufacturing.
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