互连简单,准确和统计模型使用芯片上的测量校准

A. Doganis, James C. Chen
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引用次数: 2

摘要

在这项工作中,我们将描述和分析互连结构的简单,准确和紧凑的模型。通过现场求解器模拟和晶圆测试结构测量,对这些参数化模型进行了优化。此外,使用主成分分析(PCA)和性能响应面模型(RSM)将过程变化纳入紧凑模型中,以导出统计互连模型。本文介绍了一种新的测试结构,以及测量方案和相关的提取方法,以方便互连模型的校准。此外,针对复杂片上测试结构(如时钟网)的测量,进一步调整这些模型,确保模型的准确性和电路性能的可预测性。
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Interconnect simple, accurate and statistical models using on-chip measurements for calibration
In this work, we will describe and analyze simple, accurate and compact models for interconnect structures. These parameterized models are optimized for the particular fabrication process via field solver simulations and on wafer test structure measurements. Additionally, process variations will be incorporated in the compact models using the principal component analysis (PCA) and performance response surface models (RSM) to derive statistical interconnect models. A new test structure, along with the measurement scheme and the associated extraction methods are introduced here to facilitate the calibration of the interconnect models. Additionally, further tuning of those models with respect to measurements of complex on-chip test structures, such as clock nets, assures model accuracy and circuit performance predictability.
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