Pub Date : 2024-06-17DOI: 10.1109/TDMR.2024.3415049
Tae Yeob Kang;Haebom Lee;Sungho Suh
In the field of optoelectronics, indium tin oxide (ITO) electrodes play a crucial role in various applications, such as displays, sensors, and solar cells. Effective fault diagnosis and root cause analysis of the ITO electrodes are essential to ensure the performance and reliability of the devices. However, traditional visual inspection is challenging with transparent ITO electrodes, and existing fault diagnosis methods have limitations in determining the root causes of the defects, often requiring destructive evaluations and secondary material characterization techniques. In this study, a fault diagnosis method with root cause analysis is proposed using scattering parameter (S-parameter) patterns, offering early detection, high diagnostic accuracy, and noise robustness. A comprehensive S-parameter pattern database is obtained according to various defect states of the ITO electrodes. Deep learning (DL) approaches, including multilayer perceptron (MLP), convolutional neural network (CNN), and transformer, are then used to simultaneously analyze the cause and severity of defects. Notably, it is demonstrated that the diagnostic performance under additive noise levels can be significantly enhanced by combining different channels of the S-parameters as input to the learning algorithms, as confirmed through the t-distributed stochastic neighbor embedding (t-SNE) dimension reduction visualization of the S-parameter patterns.
在光电子领域,铟锡氧化物(ITO)电极在显示器、传感器和太阳能电池等各种应用中发挥着至关重要的作用。要确保设备的性能和可靠性,就必须对 ITO 电极进行有效的故障诊断和根本原因分析。然而,对于透明的 ITO 电极来说,传统的目视检测具有挑战性,而且现有的故障诊断方法在确定缺陷的根本原因方面存在局限性,通常需要进行破坏性评估和二次材料表征技术。本研究提出了一种利用散射参数(S 参数)模式进行根本原因分析的故障诊断方法,具有早期检测、诊断准确性高和噪声稳健性好的特点。根据 ITO 电极的各种缺陷状态,获得了一个全面的 S 参数模式数据库。然后使用深度学习(DL)方法,包括多层感知器(MLP)、卷积神经网络(CNN)和变压器,同时分析缺陷的原因和严重程度。值得注意的是,通过对 S 参数模式进行 t 分布随机邻域嵌入(t-SNE)降维可视化,证明了将不同通道的 S 参数组合作为学习算法的输入,可显著提高加性噪声水平下的诊断性能。
{"title":"An Empirical Study on Fault Detection and Root Cause Analysis of Indium Tin Oxide Electrodes by Processing S-Parameter Patterns","authors":"Tae Yeob Kang;Haebom Lee;Sungho Suh","doi":"10.1109/TDMR.2024.3415049","DOIUrl":"10.1109/TDMR.2024.3415049","url":null,"abstract":"In the field of optoelectronics, indium tin oxide (ITO) electrodes play a crucial role in various applications, such as displays, sensors, and solar cells. Effective fault diagnosis and root cause analysis of the ITO electrodes are essential to ensure the performance and reliability of the devices. However, traditional visual inspection is challenging with transparent ITO electrodes, and existing fault diagnosis methods have limitations in determining the root causes of the defects, often requiring destructive evaluations and secondary material characterization techniques. In this study, a fault diagnosis method with root cause analysis is proposed using scattering parameter (S-parameter) patterns, offering early detection, high diagnostic accuracy, and noise robustness. A comprehensive S-parameter pattern database is obtained according to various defect states of the ITO electrodes. Deep learning (DL) approaches, including multilayer perceptron (MLP), convolutional neural network (CNN), and transformer, are then used to simultaneously analyze the cause and severity of defects. Notably, it is demonstrated that the diagnostic performance under additive noise levels can be significantly enhanced by combining different channels of the S-parameters as input to the learning algorithms, as confirmed through the t-distributed stochastic neighbor embedding (t-SNE) dimension reduction visualization of the S-parameter patterns.","PeriodicalId":448,"journal":{"name":"IEEE Transactions on Device and Materials Reliability","volume":"24 3","pages":"380-389"},"PeriodicalIF":2.5,"publicationDate":"2024-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141935389","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-13DOI: 10.1109/TDMR.2024.3414181
Yibo Hu;Hao Ge;Zhipeng Ren;Yizhe Yin;Jing Chen
In this work, we investigated a compact model for characterizing Positive Bias Temperature Instability (PBTI) in 22nm FD-SOI nMOSFETs under dynamic voltage scaling (DVS). This model exhibits high flexibility in predicting PBTI-related threshold voltage degradation in both DC and DVS operations. We measured the impact of time-varying stress and recovery bias conditions, revealing a robust correlation between degradation and relaxation. We integrated the coupling of interface traps and fixed charges into the model, which is deemed a significant contribution. As a result, the model demonstrates high predictive accuracy across various stress conditions, including DC/AC, multiple cycles, and different duty cycles.
{"title":"Modeling of Threshold Voltage Degradation of 22nm FD-SOI nMOSFETs Under Dynamic Voltage Scaling","authors":"Yibo Hu;Hao Ge;Zhipeng Ren;Yizhe Yin;Jing Chen","doi":"10.1109/TDMR.2024.3414181","DOIUrl":"10.1109/TDMR.2024.3414181","url":null,"abstract":"In this work, we investigated a compact model for characterizing Positive Bias Temperature Instability (PBTI) in 22nm FD-SOI nMOSFETs under dynamic voltage scaling (DVS). This model exhibits high flexibility in predicting PBTI-related threshold voltage degradation in both DC and DVS operations. We measured the impact of time-varying stress and recovery bias conditions, revealing a robust correlation between degradation and relaxation. We integrated the coupling of interface traps and fixed charges into the model, which is deemed a significant contribution. As a result, the model demonstrates high predictive accuracy across various stress conditions, including DC/AC, multiple cycles, and different duty cycles.","PeriodicalId":448,"journal":{"name":"IEEE Transactions on Device and Materials Reliability","volume":"24 3","pages":"463-465"},"PeriodicalIF":2.5,"publicationDate":"2024-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141935277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-03DOI: 10.1109/TDMR.2024.3408293
Yu Zhang;Renqiang Zhu;Haolan Qu;Yitian Gu;Huaxing Jiang;Kei May Lau;Xinbo Zou
Dynamic stability of quasi-vertical GaN trench MOSFETs featuring a thick bottom dielectric (TBD) is thoroughly investigated. Degradation in forward drain current was observed as applying gate or drain stressing voltage, and further studied by time-resolved measurements. The drain current of the device can be maintained at 79%, compared to 61% of a reference device without TBD. Meanwhile, repeated switching tests conducted within a short on-state time demonstrate that the current collapse is confined to 10% after 500 switching cycles. The current collapse is related to electron capture at the dielectric/GaN interface, and the introduction of TBD reduces the electric field within the dielectric layer and suppresses the capture process of traps. Positive gate bias-induced threshold instability of the device with and without TBD is investigated. For the device with TBD, a small positive threshold voltage shift of 1 V is obtained. In addition, the effect of drain stressing voltage on devices is also revealed. High-resolution drain current transient spectroscopy displays the drain current reduction, attributing the degradation to captured electrons in the n--GaN layer. A capture activation energy of 0.26 eV is revealed by deep level transient spectroscopy. These findings reveal the efficacy of TBD inclusion in improving gate stability of GaN MOSFETs and underscore the critical importance of high-quality epitaxial growth for ensuring the stability of vertical devices. The stability characterization serves as a valuable reference for the development of reliable quasi-vertical GaN MOSFET devices.
{"title":"Dynamic Reliability Assessment of Vertical GaN Trench MOSFETs With Thick Bottom Dielectric","authors":"Yu Zhang;Renqiang Zhu;Haolan Qu;Yitian Gu;Huaxing Jiang;Kei May Lau;Xinbo Zou","doi":"10.1109/TDMR.2024.3408293","DOIUrl":"10.1109/TDMR.2024.3408293","url":null,"abstract":"Dynamic stability of quasi-vertical GaN trench MOSFETs featuring a thick bottom dielectric (TBD) is thoroughly investigated. Degradation in forward drain current was observed as applying gate or drain stressing voltage, and further studied by time-resolved measurements. The drain current of the device can be maintained at 79%, compared to 61% of a reference device without TBD. Meanwhile, repeated switching tests conducted within a short on-state time demonstrate that the current collapse is confined to 10% after 500 switching cycles. The current collapse is related to electron capture at the dielectric/GaN interface, and the introduction of TBD reduces the electric field within the dielectric layer and suppresses the capture process of traps. Positive gate bias-induced threshold instability of the device with and without TBD is investigated. For the device with TBD, a small positive threshold voltage shift of 1 V is obtained. In addition, the effect of drain stressing voltage on devices is also revealed. High-resolution drain current transient spectroscopy displays the drain current reduction, attributing the degradation to captured electrons in the n--GaN layer. A capture activation energy of 0.26 eV is revealed by deep level transient spectroscopy. These findings reveal the efficacy of TBD inclusion in improving gate stability of GaN MOSFETs and underscore the critical importance of high-quality epitaxial growth for ensuring the stability of vertical devices. The stability characterization serves as a valuable reference for the development of reliable quasi-vertical GaN MOSFET devices.","PeriodicalId":448,"journal":{"name":"IEEE Transactions on Device and Materials Reliability","volume":"24 3","pages":"358-364"},"PeriodicalIF":2.5,"publicationDate":"2024-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141935391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-29DOI: 10.1109/TDMR.2024.3394576
Tommaso Zanotti;Alok Ranjan;Sean J. O’Shea;Nagarajan Raghavan;Ramesh Thamankar;Kin Leong Pey;Francesco Maria Puglisi
The development of a robust and secure hardware for the Internet of Things (IoT) and edge computing requires improvements in the existing low-power and low-cost hardware security primitives. Among the various available technologies, true random number generators (TRNGs) that leverage random telegraph noise (RTN) from nanoelectronics devices have emerged as effective solutions. However, the temporal instabilities in the RTN signal, such as the DC drift and temporary inhibition, are a few of the key reliability challenges for the TRNG circuits. In this study, we have utilized experimental RTN data collected from the commonly used gate dielectrics, including silicon dioxide (SiO2), hafnium dioxide (HfO2), and 2D crystalline hexagonal boron nitride (h-BN) to identify the crucial reliability challenges for RTN-based TRNG circuits. We have analyzed the impact of RTN instabilities and of circuit parameters on the output randomness and propose reliability aware design guidelines. Finally, we design and simulate an RTN-based TRNG circuit using a 130 nm CMOS technology and evaluate its reliability at the circuit level.
{"title":"Guidelines for the Design of Random Telegraph Noise-Based True Random Number Generators","authors":"Tommaso Zanotti;Alok Ranjan;Sean J. O’Shea;Nagarajan Raghavan;Ramesh Thamankar;Kin Leong Pey;Francesco Maria Puglisi","doi":"10.1109/TDMR.2024.3394576","DOIUrl":"10.1109/TDMR.2024.3394576","url":null,"abstract":"The development of a robust and secure hardware for the Internet of Things (IoT) and edge computing requires improvements in the existing low-power and low-cost hardware security primitives. Among the various available technologies, true random number generators (TRNGs) that leverage random telegraph noise (RTN) from nanoelectronics devices have emerged as effective solutions. However, the temporal instabilities in the RTN signal, such as the DC drift and temporary inhibition, are a few of the key reliability challenges for the TRNG circuits. In this study, we have utilized experimental RTN data collected from the commonly used gate dielectrics, including silicon dioxide (SiO2), hafnium dioxide (HfO2), and 2D crystalline hexagonal boron nitride (h-BN) to identify the crucial reliability challenges for RTN-based TRNG circuits. We have analyzed the impact of RTN instabilities and of circuit parameters on the output randomness and propose reliability aware design guidelines. Finally, we design and simulate an RTN-based TRNG circuit using a 130 nm CMOS technology and evaluate its reliability at the circuit level.","PeriodicalId":448,"journal":{"name":"IEEE Transactions on Device and Materials Reliability","volume":"24 2","pages":"184-193"},"PeriodicalIF":2.5,"publicationDate":"2024-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140832466","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-29DOI: 10.1109/TDMR.2024.3394517
Xiyuan Huang;Mingxing Du;Hongze Fu;Sai Gao
This paper introduces a novel online aging monitoring method for bond wires in IGBT modules based on voltage ringing frequency characteristics. The synchronous Buck converter was selected as the IGBT module test system. The influence of the aging degree of upper bridge arm IGBT module on the voltage ringing peak frequency characteristics of the lower bridge arm IGBT module is studied during the switching transient. Considering the influence of junction temperature, power loop wires inductance and driving resistance on the ringing frequency characteristics, this paper measured the standard ringing frequency under the coupling conditions of each factor. Then a standard database under different working conditions is constructed, and the database is used as a criterion to complete the monitoring task. Finally, the converter-level aging monitoring method of bond wires is realized which is non-invasive and real-time. The experimental results show that the proposed method does not need additional equipment, which reduces the complexity of monitoring circuit and has universal applicability.
{"title":"An Aging Monitoring Method of Bond Wires Based on Voltage Ringing Frequency Characteristics in IGBT Modules","authors":"Xiyuan Huang;Mingxing Du;Hongze Fu;Sai Gao","doi":"10.1109/TDMR.2024.3394517","DOIUrl":"10.1109/TDMR.2024.3394517","url":null,"abstract":"This paper introduces a novel online aging monitoring method for bond wires in IGBT modules based on voltage ringing frequency characteristics. The synchronous Buck converter was selected as the IGBT module test system. The influence of the aging degree of upper bridge arm IGBT module on the voltage ringing peak frequency characteristics of the lower bridge arm IGBT module is studied during the switching transient. Considering the influence of junction temperature, power loop wires inductance and driving resistance on the ringing frequency characteristics, this paper measured the standard ringing frequency under the coupling conditions of each factor. Then a standard database under different working conditions is constructed, and the database is used as a criterion to complete the monitoring task. Finally, the converter-level aging monitoring method of bond wires is realized which is non-invasive and real-time. The experimental results show that the proposed method does not need additional equipment, which reduces the complexity of monitoring circuit and has universal applicability.","PeriodicalId":448,"journal":{"name":"IEEE Transactions on Device and Materials Reliability","volume":"24 2","pages":"344-353"},"PeriodicalIF":2.5,"publicationDate":"2024-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140832749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper demonstrates the fabrication, testing, reliability and impact of temperature on the nanostructured vanadium pentoxide (V2O5) based memristor devices. The scalability, repeatability and reliability tests were performed across the devices from 2 inch processed wafers. The reliability test of the memristor devices was conducted by performing real time testing with varying temperature from 293 K to 383 K. The performance metric of the memristor devices were enhanced with the increase in the device testing temperature. The current switching ratio 300 was observed at 383 K, which is $sim$