CMP过程控制与iAPC分段建模,以实现所需的晶圆内均匀性和几何跨越耗材寿命

Logamanya Rukmangathan Duraisamy, Karthik Sankar, Gerry Dizon, Sreejith Ajithkumar, Yew Siew Chong Mentor
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引用次数: 0

摘要

在整个耗材寿命期间,CMP工艺的晶圆内均匀性和几何形状会发生变化。预层的几何形状和厚度显著影响CMP后工艺的均匀性和晶圆的几何形状。后CMP晶圆均匀性和几何形状的不一致影响下游工艺余量,导致各种良率问题,如触点到栅极之间的开路或短路。测量晶圆片的几何形状,对不受控制的晶圆片进行返工,使其在规定的控制范围内。由于消耗品导致CMP的变化和上游工艺导致的CMP的OOC和返工。为了减少返工,CMP通常与APC(高级过程控制)和端点等过程控制一起使用。如果与CMP系统紧密集成,APC可以有效地减少反馈延迟,而端点则具有挑战性,因为氧化物CMP层需要层内的端点(即层内停止),这使得它不准确,底层属性的微小变化会影响端点的准确性。iAPC(集成高级过程控制)与CMP抛光系统紧密集成,通过与工具更快的接口减少反馈延迟,从而实现更好的过程控制。本文详细讨论了面向CMP的iAPC建模策略,以实现所需的跨耗材寿命和跨工具池的过程控制。该建模方法通过对晶圆径向区域的建模进行分段,包括抛光头区域与区域之间相互作用的意义,并得到晶圆在每个抛光头区域影响的耗材区域上的几何特征。iAPC分段建模显著降低了厚度失控(OOC),并将相同工艺方案的模型分组在一起,以便在整个消耗品寿命期间进行连续反馈,这将在本文的后面部分进行讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CMP Process Control With iAPC Segmented Modeling to Achieve Desired With-in-Wafer Uniformity and Geometry Across Consumable Life
The with-in-wafer uniformity and geometry of the CMP process varies across the life of consumables. The pre layer geometry and thickness significantly affect the post CMP process uniformity and geometry of the wafer. Inconsistency in post CMP wafer uniformity and geometry affects downstream process margin which leads to various yield issues like open or short circuit between contact to gate. Wafer geometry is measured, and out-of-control wafers are reworked to be within specified control limits. OOC and rework in CMP due to consumable caused variations in CMP and upstream process contribution to variation. To reduce rework, CMP is normally employed with process controls like APC (Advanced Process Control) and Endpoints. APC can be effective if integrated closely with CMP system with reduced delays in feedback, while Endpoints are challenging, since the oxide CMP layer is required for an endpoint within the layer (i.e., stop in layer), which makes it inaccurate and small changes in underlying layer properties affect endpoints to be less accurate. iAPC (integrated Advanced Process Control) is tightly integrated with the CMP polishing systems, which reduces feedback delays with a faster interface with the tool to achieve better process control. Modeling strategy of iAPC for CMP is discussed here in detail to achieve desired process control across consumable life and across tool pool. The modeling approach is segmented by modeling across wafer radial regions to include significance of polishing head’s zone to zone interaction and to get the wafer’s geometry characteristics on each region with consumable influenced by each polishing head zone. Thickness Out-of-Control (OOC) is significantly reduced with iAPC segmented modeling, and the model of identical process schemes is grouped together for continuous feedback across consumable life, which will be discussed in later sections of this paper.
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