Variability-aware TCAD based design-technology co-optimization platform for 7nm node nanowire and beyond

Y. Wang, B. Cheng, X. Wang, E. Towie, C. Riddet, A. Brown, S. Amoroso, L. Wang, D. Reid, X. Liu, J. Kang, A. Asenov
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引用次数: 5

Abstract

In this work, a design-technology co-optimization (DTCO) platform for 7nm node nanowire and beyond is demonstrated for the first time. The platform extends from predictive TCAD simulations through compact model extraction to circuit simulation. The impact of different cross-section geometries, design of experiment, parasitic effects, global variation and local variation are accurately and efficiently examined to provide insights for variability-aware device/circuit co-optimization.
基于可变感知TCAD的7nm及以上节点纳米线设计技术协同优化平台
在这项工作中,首次展示了7nm及以上节点纳米线的设计技术协同优化(DTCO)平台。该平台从预测TCAD仿真扩展到紧凑模型提取和电路仿真。不同截面几何形状、实验设计、寄生效应、全局变化和局部变化的影响被准确有效地检查,以提供对变化感知的器件/电路协同优化的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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