英特尔的AMT为英特尔的DFM测试芯片车辆提供了快速处理和信息转换

H. Hajj
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引用次数: 3

摘要

晶体管的尺寸正在迅速接近原子的水平。计量已经是一个挑战。一些技术已经发展到跟上步伐,如散射测量和裸晶圆检测。光刻关键尺寸、配准和节距是尺寸缩放挑战的前沿。这些尺寸的可变性可能会限制功能、性能、良率和盈利能力,并带来制造设计(DFM)方面的挑战。英特尔的集成器件制造(IDM)模式使许多技术和学科能够结合在一起,为摩尔定律缩放挑战提供最具成本效益和最佳解决方案。英特尔的自动化制造技术(AMT)能力在实现最佳摩尔定律缩放解决方案方面发挥着重要作用。信息循环开始于技术测试芯片的定义,结束于对线端(EOL)计量结果的分析。我们将讨论AMT的相关DFM元素,以实现:测试芯片设置,计算光刻和验证,产品和工艺建模和设置,智能和控制以最小化可变性,快速良率学习和快速产品设计学习。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intel's AMT enables rapid processing and info-turn for Intel's DFM test chip vehicle
Transistor dimensions are quickly approaching atomic levels. Metrology is already a challenge. Several technologies have evolved to keep pace such as scatterometry and bare wafer inspection. Lithography critical dimensions, registration and pitch are the forefront of dimensional scaling challenges. Variability at these dimensions can limit function, performance, yield and profitability with design for manufacturing (DFM) challenges. Intel's integrated device manufacturing (IDM) model has enabled many technologies and disciplines to come together to provide the most cost effective and optimal solutions to Moore's law scaling challenges. Intel's Automated Manufacturing Technology (AMT) capabilities play a significant role in enabling optimal Moore's law scaling solutions. The information turn cycle starts with the definition of the technology Test Chip and ends with the analysis of results from end of line (EOL) metrology. We will discuss the relevant DFM elements of AMT to enable: test-chip setup, computational lithography and validation, product & process modeling and setup, intelligence and control to minimize variability, rapid yield learning, and rapid product design learning.
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