Synergistic Synthesis Methodologies and Computer-Aided Design Tools for Analog and RF Integrated Circuits in Advanced Technologies
先进技术中模拟和射频集成电路的协同综合方法和计算机辅助设计工具
基本信息
- 批准号:342185-2013
- 负责人:
- 金额:$ 2.11万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Discovery Grants Program - Individual
- 财政年份:2013
- 资助国家:加拿大
- 起止时间:2013-01-01 至 2014-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Transistor performance in the 90nm and below technologies is strongly affected by extrinsic layout-dependent effects (LDEs), such as transistor well proximity and stress effects. Recent research has shown that ignoring LDEs at nanometer process nodes can cause 15%-30% variation in the transistor performance, which may readily lead to malfunction of analog/RF integrated circuits (IC). When using leading-edge commercially available analog/RF design methodologies, the associated LDE impact on circuit performance is unknown before the layout is generated. Thus, a large number of design iterations as well as manual intervention are inevitably required in advanced technologies.
90 纳米及以下技术中的晶体管性能受到外在布局相关效应 (LDE) 的强烈影响,例如晶体管阱邻近效应和应力效应。最近的研究表明,忽略纳米工艺节点的 LDE 可能会导致晶体管性能出现 15%-30% 的变化,这很容易导致模拟/射频集成电路 (IC) 发生故障。当使用领先的商用模拟/射频设计方法时,在生成布局之前,相关的 LDE 对电路性能的影响是未知的。因此,先进技术不可避免地需要大量的设计迭代和人工干预。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Zhang, Lihong其他文献
Pharmacodynamics and metabonomics study of Tianma Gouteng Decoction for treatment of spontaneously hypertensive rats with liver-yang hyperactivity syndrome
- DOI:
10.1016/j.jep.2020.112661 - 发表时间:
2020-05-10 - 期刊:
- 影响因子:5.4
- 作者:
Dong, Hongyan;Zhang, Shaoqiang;Zhang, Lihong - 通讯作者:
Zhang, Lihong
Comparing three-dimensional and two-dimensional deep-learning, radiomics, and fusion models for predicting occult lymph node metastasis in laryngeal squamous cell carcinoma based on CT imaging: a multicentre, retrospective, diagnostic study.
- DOI:
10.1016/j.eclinm.2023.102385 - 发表时间:
2024-01 - 期刊:
- 影响因子:15.1
- 作者:
Wang, Wenlun;Liang, Hui;Zhang, Zhouyi;Xu, Chenyang;Wei, Dongmin;Li, Wenming;Qian, Ye;Zhang, Lihong;Liu, Jun;Lei, Dapeng - 通讯作者:
Lei, Dapeng
The Application of Software "Rapid Processing of Perfusion and Diffusion" in Acute Ischemic Stroke.
- DOI:
10.3390/brainsci12111451 - 发表时间:
2022-10-27 - 期刊:
- 影响因子:3.3
- 作者:
Zhang, Yudi;Song, Shuang;Li, Zhenzhong;Huang, Boyuan;Geng, Yanlu;Zhang, Lihong - 通讯作者:
Zhang, Lihong
Chemical exchange saturation transfer (CEST) magnetic resonance imaging (MRI) quantification of transient ischemia using a combination method of 5-pool Lorentzian fitting and inverse Z-spectrum analysis.
- DOI:
10.21037/qims-22-420 - 发表时间:
2023-03-01 - 期刊:
- 影响因子:2.8
- 作者:
Zhang, Lihong;Xu, Chongxin;Li, Zhen;Sun, Junding;Wang, Xiaoli;Hou, Beibei;Zhao, Yingcheng - 通讯作者:
Zhao, Yingcheng
Prognostic Values Serum Cav-1 and NGB Levels in Early Neurological Deterioration After Intravenous Thrombolysis in Patients with Acute Ischemic Stroke.
- DOI:
10.1177/10760296231219707 - 发表时间:
2023-01 - 期刊:
- 影响因子:2.9
- 作者:
Zhang, Lihong;Wang, Cui;Zhao, Manhong;Li, Xuesong;Qu, Hong;Xu, Jianping;Li, Di - 通讯作者:
Li, Di
Zhang, Lihong的其他文献
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{{ truncateString('Zhang, Lihong', 18)}}的其他基金
Machine-Learning-Driven Synthesis Methodologies for Analog and RF Integrated Circuits in Advanced Nanometer Technologies
先进纳米技术中模拟和射频集成电路的机器学习驱动合成方法
- 批准号:
RGPIN-2019-04130 - 财政年份:2022
- 资助金额:
$ 2.11万 - 项目类别:
Discovery Grants Program - Individual
Ultra-Low Power SAR ADC for Low-Activity Signals (I2I-Lab2Market - Market Assessment)
适用于低活动信号的超低功耗 SAR ADC(I2I-Lab2Market - 市场评估)
- 批准号:
571223-2022 - 财政年份:2021
- 资助金额:
$ 2.11万 - 项目类别:
Idea to Innovation
Machine-Learning-Driven Synthesis Methodologies for Analog and RF Integrated Circuits in Advanced Nanometer Technologies
先进纳米技术中模拟和射频集成电路的机器学习驱动合成方法
- 批准号:
RGPIN-2019-04130 - 财政年份:2021
- 资助金额:
$ 2.11万 - 项目类别:
Discovery Grants Program - Individual
Piezoelectric MEMS Vibration Energy Harvesters: Renewable Energy Source in the Portable Era (I2I Phase - Market Assessment)
压电 MEMS 振动能量采集器:便携式时代的可再生能源(I2I 阶段 - 市场评估)
- 批准号:
570988-2022 - 财政年份:2021
- 资助金额:
$ 2.11万 - 项目类别:
Idea to Innovation
Machine-Learning-Driven Synthesis Methodologies for Analog and RF Integrated Circuits in Advanced Nanometer Technologies
先进纳米技术中模拟和射频集成电路的机器学习驱动合成方法
- 批准号:
RGPIN-2019-04130 - 财政年份:2020
- 资助金额:
$ 2.11万 - 项目类别:
Discovery Grants Program - Individual
Machine-Learning-Driven Synthesis Methodologies for Analog and RF Integrated Circuits in Advanced Nanometer Technologies
先进纳米技术中模拟和射频集成电路的机器学习驱动合成方法
- 批准号:
RGPIN-2019-04130 - 财政年份:2019
- 资助金额:
$ 2.11万 - 项目类别:
Discovery Grants Program - Individual
Synergistic Synthesis Methodologies and Computer-Aided Design Tools for Analog and RF Integrated Circuits in Advanced Technologies
先进技术中模拟和射频集成电路的协同综合方法和计算机辅助设计工具
- 批准号:
342185-2013 - 财政年份:2018
- 资助金额:
$ 2.11万 - 项目类别:
Discovery Grants Program - Individual
Synergistic Synthesis Methodologies and Computer-Aided Design Tools for Analog and RF Integrated Circuits in Advanced Technologies
先进技术中模拟和射频集成电路的协同综合方法和计算机辅助设计工具
- 批准号:
342185-2013 - 财政年份:2015
- 资助金额:
$ 2.11万 - 项目类别:
Discovery Grants Program - Individual
Synergistic Synthesis Methodologies and Computer-Aided Design Tools for Analog and RF Integrated Circuits in Advanced Technologies
先进技术中模拟和射频集成电路的协同综合方法和计算机辅助设计工具
- 批准号:
342185-2013 - 财政年份:2014
- 资助金额:
$ 2.11万 - 项目类别:
Discovery Grants Program - Individual
Manufacturability-aware performance-driven layout-centric design automation of analog and RF integrated circuits
模拟和射频集成电路的可制造性感知、性能驱动、以布局为中心的设计自动化
- 批准号:
342185-2007 - 财政年份:2012
- 资助金额:
$ 2.11万 - 项目类别:
Discovery Grants Program - Individual
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新型滤波器综合技术-直接综合技术(Direct synthesis Technique)的研究及应用
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