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Measuring Temperature in GaN HEMTs: An Approach Based on Raman Spectroscopy 基于拉曼光谱的氮化镓hemt温度测量方法
Pub Date : 2019-05-01 DOI: 10.31399/asm.edfa.2019-2.p010
B. Boudart, Y. Guhel
This article describes a new technique for measuring temperatures in GaN HEMTs. The method is based on Raman spectroscopy and the use of cerium oxide particles that act like micro-Raman thermometers when scanned with a UV laser. As the article explains, phonon line shifts due to Raman scattering are used to estimate the temperature of GaN layers while surface temperatures are obtained through the cerium oxide particles. The results presented also verify that the particles, which are distributed over semiconductor and metal surfaces, do not modify the electric characteristics of the GaN devices.
本文介绍了一种测量GaN hemt中温度的新技术。该方法基于拉曼光谱和使用氧化铈颗粒,当用紫外激光扫描时,氧化铈颗粒就像微拉曼温度计一样。正如文章所解释的那样,由于拉曼散射引起的声子线位移用于估计氮化镓层的温度,而表面温度则通过氧化铈颗粒获得。研究结果还证实,分布在半导体和金属表面的颗粒不会改变GaN器件的电特性。
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引用次数: 0
Superconducting Electronics: A New Frontier for Failure Analysis and Reliability 超导电子学:失效分析和可靠性的新前沿
Pub Date : 2019-05-01 DOI: 10.31399/asm.edfa.2019-2.p054
N. Missert
This column assesses the current state and outlook for superconducting device technology and its application in exascale computing.
本专栏评估了超导器件技术及其在百亿亿次计算中的应用的现状和前景。
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引用次数: 0
The Power of IC Reverse Engineering for Hardware Trust and Assurance IC逆向工程对硬件信任和保证的作用
Pub Date : 2019-05-01 DOI: 10.31399/asm.edfa.2019-2.p030
F. Ganji, Domenic Forte, N. Asadizanjani, M. Tehranipoor, Damon Woodward
Integrated circuits embedded in everyday devices face an increased risk of tampering and intrusion. In this article, the authors explain how reverse engineering techniques, including automated image analysis, can be employed to provide trust and assurance when dealing with commercial off-the-shelf chips.
嵌入在日常设备中的集成电路面临着越来越大的篡改和入侵风险。在这篇文章中,作者解释了逆向工程技术,包括自动图像分析,如何在处理商业现成芯片时提供信任和保证。
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引用次数: 2
Data-driven Reliability for Datacenter Hard Disk Drives 数据中心硬盘驱动器的数据驱动可靠性
Pub Date : 2019-05-01 DOI: 10.31399/asm.edfa.2019-2.p016
Alan Yang, AmirEmad Ghassami, E. Rosenbaum, N. Kiyavash
The problem of constructing reliable systems out of unreliable components is usually dealt with through a combination of redundancy and early retirement. This article assesses the potential of an intelligent failure prediction system that depends more on diagnostic data and analytics than built-in redundancy and costly replacement.
用不可靠的组件构建可靠系统的问题通常通过冗余和提前退役的组合来解决。本文评估了智能故障预测系统的潜力,该系统更多地依赖于诊断数据和分析,而不是内置冗余和昂贵的替换。
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引用次数: 0
TIVA Measurements with Visible and 1064-nm Lasers 可见光和1064纳米激光的TIVA测量
Pub Date : 2019-05-01 DOI: 10.31399/asm.edfa.2019-2.p004
P. Tangyunyong, A. Rodarte
Laser stimulation is widely used to reveal defects in ICs through either heating or photonic effects. The standard approach is to use lasers with wavelengths above the bandgap wavelength of silicon to create localized heating and below it to generate photocurrent. In practice, most FAs use 1340 nm (IR) lasers for TIVA measurements and either 532 nm (visible) or 1064 nm (near IR) lasers for LIVA analysis. However, as this article demonstrates, visible and near IR lasers can also be used for TIVA analysis and, in some cases, may be preferrable based on signal strength and spatial resolution.
激光刺激被广泛应用于通过加热或光子效应来揭示集成电路中的缺陷。标准的方法是使用波长高于硅带隙波长的激光器来产生局部加热,低于硅带隙波长的激光器产生光电流。实际上,大多数FAs使用1340 nm(红外)激光进行TIVA测量,使用532 nm(可见光)或1064 nm(近红外)激光进行LIVA分析。然而,正如本文所演示的那样,可见光和近红外激光器也可用于TIVA分析,并且在某些情况下,根据信号强度和空间分辨率,可能更可取。
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引用次数: 0
Failure Risk Assessment of Laser Diode Stacks for a Martian Application 火星应用激光二极管堆失效风险评估
Pub Date : 2019-05-01 DOI: 10.31399/asm.edfa.2019-2.p022
Guillaume Thin, F. Bourcier, H. Moisan
This article describes the qualification process for a 1.8 kW laser diode stack designed for the Mars Curiosity rover. The seven-bar stack serves as the optical pump in a boom-mounted spectroscope attached to the front of the rover. Each laser bar is made of 62 single emitters and generates 260 W of instantaneous optical power. A detailed design analysis of the diode stack is presented along with the results of overstress testing and failure analysis.
本文介绍了为火星好奇号火星车设计的1.8 kW激光二极管堆的鉴定过程。这个七小节的堆栈在安装在探测器前部的臂架式分光镜中充当光泵。每个激光棒由62个单发射器组成,可产生260瓦的瞬时光功率。给出了二极管堆的详细设计分析以及超应力测试和失效分析的结果。
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引用次数: 0
Ensuring Advanced Semiconductor Device Reliability using FA and Submicron Defect Detection 利用FA和亚微米缺陷检测确保先进半导体器件的可靠性
Pub Date : 2019-02-01 DOI: 10.31399/asm.edfa.2019-1.p020
Dusty Gray, D. Kendig, A. Tay, A. Shakouri
A noninvasive thermal imaging approach based on the thermoreflectance principle is proposed for analyzing advanced semiconductor devices. Several examples illustrate the value of this approach in detecting thermal anomalies and defects missed by other techniques.
提出了一种基于热反射原理的无创热成像方法,用于分析先进半导体器件。几个例子说明了这种方法在检测其他技术所遗漏的热异常和缺陷方面的价值。
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引用次数: 1
An Automated Methodology for Logic Characterization Vehicle Design 逻辑表征车辆设计的自动化方法
Pub Date : 2019-02-01 DOI: 10.31399/asm.edfa.2019-1.p012
Z. Liu, Ben Niewenhuis, Soumya Mittal, Phillip Fynan, R. D. Blanton
A new product-like test chip developed by engineers at Carnegie Mellon University overcomes the current limitations in conventional test chip design. This article discusses the advantages of the new chip, called the CM-LCV, and presents experimental results showing how it achieves fault coverages comparable to or better than benchmarking designs.
卡内基梅隆大学的工程师们开发了一种新的类似产品的测试芯片,克服了目前传统测试芯片设计的局限性。本文讨论了称为CM-LCV的新芯片的优点,并提供了实验结果,显示了它如何实现与基准设计相当或更好的故障覆盖率。
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引用次数: 0
ISTFA 2018 Highlights: All Things Failure Analysis, in Four Impactful Days ISTFA 2018的亮点:在四个有影响力的日子里,对所有事物进行故障分析
Pub Date : 2019-02-01 DOI: 10.31399/asm.edfa.2019-1.p032
The 44th International Symposium for Testing and Failure Analysis (ISTFA 2018) was held in Phoenix, Ariz., October 28 - November 1, 2018. This article provides a summary of the highlights and identifies key contributors to the event. It also includes a summary of a panel discussion on the topic “Failures Worth Analyzing.” It concludes with discussion highlights from the Focused Ion Beam, Sample Preparation, and Contactless Fault Isolation/Nanoprobing user group meetings held at the conference.
第44届测试与失效分析国际研讨会(ISTFA 2018)在亚利桑那州凤凰城举行。, 2018年10月28日至11月1日。本文提供了一个重点摘要,并确定了该事件的主要贡献者。它还包括关于“值得分析的失败”主题的小组讨论的摘要。最后,重点讨论了在会议上举行的聚焦离子束、样品制备和非接触式故障隔离/纳米探测用户组会议。
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引用次数: 0
Machine Learning Inside the Cell to Solve Complex FinFET Defect Mechanisms with Volume Scan Diagnosis 单元内机器学习解决复杂的FinFET缺陷机制与体积扫描诊断
Pub Date : 2019-02-01 DOI: 10.31399/asm.edfa.2019-1.p004
Manish Sharma, Yan Pan
This article presents a recent breakthrough in the use of machine learning in semiconductor FA. For the first time, cell-internal defects in FinFETs have not only been detected and diagnosed, but also refined, clarified, and resolved using cell-aware diagnosis along with root cause deconvolution (RCD) techniques. The authors describe the development of the methodology and evaluate the incremental improvements made with each step.
本文介绍了在半导体FA中使用机器学习的最新突破。这是第一次,finfet的细胞内部缺陷不仅被检测和诊断,而且还通过细胞感知诊断和根本原因反褶积(RCD)技术进行了细化、澄清和解决。作者描述了该方法的发展,并评估了每一步所做的增量改进。
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引用次数: 0
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