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Machine learning classifiers with explainable insights for parametric fault diagnosis in linear analog circuits using frequency response features 使用频率响应特征的线性模拟电路中具有可解释的参数故障诊断见解的机器学习分类器
IF 1.9 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-12-17 DOI: 10.1016/j.microrel.2025.115982
Vanshika Rajpal , A. Charan Kumari , K. Srinivas
Accurate and scalable fault diagnosis in analog integrated circuits (AICs) remains a significant challenge, particularly in detecting soft parametric faults arising from process variations, aging, and environmental factors. This paper presents a comprehensive machine learning–based framework for automated fault classification in linear analog circuits, demonstrated through two representative case studies, an RC band-pass filter and a Butterworth low-pass filter. Frequency-domain responses of both output voltage and supply current were analysed, and complex-valued features comprising real and imaginary components were extracted to capture the circuits' resistive and reactive characteristics.
Monte Carlo simulations with ±30 % component deviations generated a rich dataset for training and validation. Nine machine learning classifiers, including CatBoost, LightGBM, and XGBoost, were benchmarked against traditional approaches. The proposed complex-domain feature extraction method significantly outperformed magnitude-only and real-part-only baselines, with CatBoost achieving the highest accuracy of 99.75 %. Computational efficiency and inference analysis confirmed the model's suitability for real-time fault diagnosis, with millisecond-level latency and compact model size. SHAP (SHapley Additive exPlanations) analysis provided interpretability by identifying the most influential spectral features contributing to fault classification.
Finally, the framework's generalisation and practical feasibility were demonstrated through cross-circuit evaluation and a hardware validation perspective, outlining measurement procedures and highlighting its real-world applicability. The results confirm that the proposed approach effectively integrates high diagnostic accuracy, interpretability, and computational efficiency, establishing a robust and explainable solution for fault diagnosis in linear analog circuits.
在模拟集成电路(aic)中,准确和可扩展的故障诊断仍然是一个重大挑战,特别是在检测由工艺变化、老化和环境因素引起的软参数故障方面。本文提出了一个全面的基于机器学习的框架,用于线性模拟电路的自动故障分类,并通过两个代表性的案例研究,RC带通滤波器和巴特沃斯低通滤波器进行了演示。分析了输出电压和电源电流的频域响应,提取了包含实分量和虚分量的复值特征,以捕获电路的电阻和无功特性。具有±30%分量偏差的蒙特卡罗模拟生成了用于训练和验证的丰富数据集。包括CatBoost、LightGBM和XGBoost在内的9个机器学习分类器与传统方法进行了基准测试。所提出的复域特征提取方法显著优于纯幅值和纯实部基线,其中CatBoost达到了99.75%的最高准确率。计算效率和推理分析表明,该模型具有毫秒级的延迟和紧凑的模型尺寸,适合于实时故障诊断。SHAP (SHapley加性解释)分析通过识别有助于断层分类的最具影响力的光谱特征来提供可解释性。最后,通过交叉电路评估和硬件验证的角度论证了该框架的概括性和实际可行性,概述了测量程序并强调了其在现实世界中的适用性。结果表明,该方法有效地集成了较高的诊断精度、可解释性和计算效率,为线性模拟电路的故障诊断建立了鲁棒性和可解释性的解决方案。
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引用次数: 0
Power cycling-induced degradation mechanisms in SiC MOSFETs with embedded Schottky barrier diodes 嵌入肖特基势垒二极管的SiC mosfet的功率循环诱导退化机制
IF 1.9 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-12-16 DOI: 10.1016/j.microrel.2025.115978
Gyuhyeok Kang , Ogyun Seok
The long-term reliability of 1.2 kV 4H-SiC MOSFETs monolithically integrated with Schottky barrier diodes (SBDs) was systematically investigated under repetitive thermo-electrical stress using DC power cycling. While SBD integration suppresses reverse-recovery charge and enhances high-frequency switching performance, the additional metal–semiconductor junctions in the body diode region introduce potential failure sites susceptible to thermally activated degradation mechanisms. In this work, devices with and without embedded SBDs were subjected to controlled junction temperature swings (ΔTj = 110 °C, Tj,m = 120 °C) for multiple cycling intervals. Temperature-sensitive electrical parameter (TSEP) monitoring, based on the low-current source–drain voltage (VSD), was performed in-situ during every power cycling event, enabling continuous tracking of junction temperature variation associated with SBD forward voltage shift. A comprehensive parametric analysis including on state resistance (Ron), threshold voltage (Vth), breakdown voltage (BV), forward conduction characteristics (VF), and reverse leakage characteristics was conducted to identify the dominant degradation mechanisms in SiC MOSFETs with embedded SBDs under power cycling conditions.
利用直流电源循环系统地研究了单片集成肖特基势垒二极管(sbd)的1.2 kV 4H-SiC mosfet在重复热电应力下的长期可靠性。虽然SBD集成抑制反向恢复电荷并提高高频开关性能,但在体二极管区域的额外金属半导体结引入了容易受到热激活降解机制影响的潜在失效点。在这项工作中,带和不带嵌入式sdd的器件在多个循环间隔内受到控制的结温波动(ΔTj = 110°C, Tj,m = 120°C)。基于低电流源漏电压(VSD)的温度敏感电参数(TSEP)监测在每次电源循环过程中都进行了现场监测,从而能够连续跟踪与SBD前向电压移位相关的结温变化。通过对状态电阻(Ron)、阈值电压(Vth)、击穿电压(BV)、正导特性(VF)和反漏特性的综合参数分析,确定了功率循环条件下嵌入sdd的SiC mosfet的主要退化机制。
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引用次数: 0
Evaluating switch lifetime in soft-switched single-stage differential-mode SST 评估软开关单级差模SST的开关寿命
IF 1.9 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-12-16 DOI: 10.1016/j.microrel.2025.115975
Nanditha Gajanur , Mohammad A. Abbaszada , Shantanu Gupta , Sudip K. Mazumder
The reliability of semiconductor switches in single-stage differential-mode solid-state transformers (DM-SSTs) has not been systematically evaluated under soft-switching operation and realistic grid conditions. This paper presents a switch-level reliability analysis for soft-switched and hard-switched DM-SST configurations by integrating converter-specific power loss modeling with empirical lifetime prediction. Analytical derivation of device current profiles specific to the DM-SST is used to characterize electrothermal stress, which is then mapped to lifetime using degradation models obtained from power cycling tests (PCTs). Applied to realistic SST load profiles and grid voltage variations, this approach provides a probabilistic prediction of switch lifetime for the DM-SST. Lifetime estimates for both SiC MOSFETs and Si IGBTs are presented, offering insight into device degradation under converter operating conditions. The results quantify the reliability benefits of soft switching in single-stage SSTs, highlighting how switching dynamics influence long-term switch degradation.
单级差模固态变压器(DM-SSTs)中半导体开关在软开关运行和实际电网条件下的可靠性尚未得到系统评估。本文通过集成转换器特定功率损耗模型和经验寿命预测,对软开关和硬开关DM-SST配置进行了开关级可靠性分析。针对DM-SST的器件电流曲线的分析推导用于表征电热应力,然后使用从功率循环测试(pct)获得的退化模型将其映射到寿命。将该方法应用于实际的SST负载分布和电网电压变化,提供了DM-SST开关寿命的概率预测。提出了SiC mosfet和Si igbt的寿命估计,提供了对转换器工作条件下器件退化的见解。结果量化了单级SSTs软交换的可靠性效益,强调了切换动力学如何影响长期开关退化。
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引用次数: 0
Multi-physics coupling simulation and numerical computation of die shift in fan-out wafer-level packaging 扇形圆片级封装中模移的多物理场耦合模拟与数值计算
IF 1.9 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-12-16 DOI: 10.1016/j.microrel.2025.115981
Yan Ma , Majiaqi Wu , Lianqiao Yang
Fan-out wafer-level packaging (FO-WLP), as a breakthrough advanced packaging technology, achieves high density interconnections by embedding chips into epoxy mold compound (EMC) and forming redistribution layers outside the die area. However, die shift, which is a slight displacement of the die from its intended position, poses a significant challenge during the molding process, affecting alignment and yield. This study systematically analyzes the effects of warpage, thermal expansion/contraction, EMC curing shrinkage and fluid drag force on die shift through multi-physics coupling simulations and numerical computation. It quantifies the contributions of thermal and fluid effects to die shift under different EMC viscosities and thicknesses. The results indicate that thermal effects are the dominant factor causing die shift; fluid effects become significant only under high-viscosity conditions, with a maximum contribution of approximately 30 %. As EMC thickness increases, the peak total shift moves toward the wafer edge, while high viscosity shifts it closer to the center. Thinner EMC exacerbates warpage but reduces die shift, whereas thicker EMC has the opposite effect. This study provides critical insights for optimizing process parameters, controlling die shift, and enhancing packaging reliability.
扇出圆片级封装(FO-WLP)是一种突破性的先进封装技术,通过将芯片嵌入环氧模复合材料(EMC)中,在模区外形成再分布层,实现高密度互连。然而,模具移位,这是模具从其预定位置的轻微位移,在成型过程中构成了一个重大挑战,影响对准和产量。通过多物理场耦合仿真和数值计算,系统分析了翘曲、热胀冷缩、EMC固化收缩和流体阻力对模移的影响。量化了在不同的电磁兼容性粘度和厚度下,热效应和流体效应对模移的贡献。结果表明,热效应是引起模移的主要因素;只有在高粘度条件下,流体效应才会变得显著,其最大贡献约为30%。随着EMC厚度的增加,峰值总位移向晶圆边缘移动,而高粘度则使峰值总位移向晶圆中心移动。较薄的EMC加剧了翘曲,但减少了模移,而较厚的EMC具有相反的效果。这项研究为优化工艺参数、控制模移和提高封装可靠性提供了重要的见解。
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引用次数: 0
HfO₂ barrier layers: Thickness-dependent corrosion protection of copper thin films for potential microelectronic applications with sweat contact HfO₂阻隔层:铜薄膜的厚度依赖腐蚀保护,用于潜在的微电子应用与汗水接触
IF 1.9 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-12-16 DOI: 10.1016/j.microrel.2025.115985
Osman KAHVECİ , Muh RUSDI , Abdullah AKKAYA , Enise AYYILDIZ
Copper conductive thin films or components in microelectronic devices face significant corrosion challenges that compromise long-term reliability. This study presents a comprehensive investigation of hafnium dioxide (HfO₂) as a protective barrier layer deposited by RF magnetron sputtering at varying thicknesses (150 and 300 nm) on copper substrates for possible microelectronic applications. Multi-technique characterization methods, including SEM-EDX, AFM, XRD, FTIR, UV–Vis spectroscopy, contact angle measurements, potentiodynamic polarization, and electrochemical impedance spectroscopy (EIS), were employed to establish structure, property, and performance relationships. EDX results show that the addition of an HfO₂ layer significantly modified the surface morphology, especially on presence of 300 nm HfO₂ layer, so that the surface appears continuous and uniform. This is also supported by the FTIR analysis results, which indicate the presence of the strongest HfO and Hf-O-Hf vibrational bonds, thereby confirming the formation of an HfO₂ layer on the Cu surface. AFM results show an increase in surface topography roughness, caused by island-type growth (Volmer-Weber), as the thickness of the HfO₂ layer increases. The XRD results for un-coated sample shows sharp and clear diffraction peaks and indicates face-centered cubic (FCC) phase pattern of pure Cu nanoparticles. When the HfO2 layer added Cu layer, XRD pattern shows the formation of a broad hump in the range of 2θ ≈ 28°–35° and HfO2 layer formed is in the amorphous state. These results are correlated with the contact angle test results. UV–Vis results show that 300 nm HfO₂ coted films has the highest transmittance value across the entire wavelength range, as well as the lowest absorbance value. The 300 nm HfO₂ coating demonstrated optimal corrosion protection with 21.2 % reduction in corrosion current density (from 11.3 to 8.89 μA/cm2) and 29 % increase in polarization resistance (from 1.45 to 1.87 kΩ cm2) in artificial sweat environment. Finally, surface wettability studies revealed that increased hydrophobicity (contact angle:49.13° to 57.99°) was correlated with enhanced corrosion barrier performance. These findings establish RF-sputtered HfO₂ as a viable, scalable solution for copper protection in next-generation microelectronic and wearable biosensor applications.
微电子器件中的铜导电薄膜或组件面临严重的腐蚀挑战,影响其长期可靠性。本研究全面研究了二氧化铪(HfO₂)作为一种保护阻挡层,通过射频磁控溅射沉积在不同厚度(150和300 nm)的铜衬底上,用于可能的微电子应用。采用SEM-EDX、AFM、XRD、FTIR、UV-Vis光谱、接触角测量、动电位极化和电化学阻抗谱(EIS)等多技术表征方法建立了结构、性能和性能之间的关系。EDX结果表明,HfO₂层的加入显著地改变了表面形貌,特别是在300 nm的HfO₂层的存在下,使表面看起来连续均匀。FTIR分析结果也支持这一点,表明存在最强的HfO和Hf-O-Hf振动键,从而证实在Cu表面形成了HfO₂层。AFM结果表明,随着HfO₂层厚度的增加,表面形貌粗糙度增加,这是由岛型生长(Volmer-Weber)引起的。未包覆样品的XRD结果显示出清晰的衍射峰,显示出纯Cu纳米颗粒的面心立方(FCC)相模式。当HfO2层加入Cu层时,XRD谱图显示在2θ≈28°-35°范围内形成一个宽驼峰,形成的HfO2层处于非晶态。这些结果与接触角试验结果有一定的相关性。UV-Vis结果表明,300 nm的HfO 2涂层在整个波长范围内的透过率值最高,吸光度值最低。在人工汗液环境下,300 nm的HfO 2涂层的腐蚀电流密度降低21.2%(从11.3 μA/cm2降低到8.89 μA/cm2),极化电阻增加29%(从1.45增加到1.87 kΩ cm2)。最后,表面润湿性研究表明,疏水性(接触角:49.13°至57.99°)的增加与耐腐蚀性能的增强有关。这些发现确立了rf溅射HfO₂作为下一代微电子和可穿戴生物传感器应用中铜保护的可行,可扩展的解决方案。
{"title":"HfO₂ barrier layers: Thickness-dependent corrosion protection of copper thin films for potential microelectronic applications with sweat contact","authors":"Osman KAHVECİ ,&nbsp;Muh RUSDI ,&nbsp;Abdullah AKKAYA ,&nbsp;Enise AYYILDIZ","doi":"10.1016/j.microrel.2025.115985","DOIUrl":"10.1016/j.microrel.2025.115985","url":null,"abstract":"<div><div>Copper conductive thin films or components in microelectronic devices face significant corrosion challenges that compromise long-term reliability. This study presents a comprehensive investigation of hafnium dioxide (HfO₂) as a protective barrier layer deposited by RF magnetron sputtering at varying thicknesses (150 and 300 nm) on copper substrates for possible microelectronic applications. Multi-technique characterization methods, including SEM-EDX, AFM, XRD, FTIR, UV–Vis spectroscopy, contact angle measurements, potentiodynamic polarization, and electrochemical impedance spectroscopy (EIS), were employed to establish structure, property, and performance relationships. EDX results show that the addition of an HfO₂ layer significantly modified the surface morphology, especially on presence of 300 nm HfO₂ layer, so that the surface appears continuous and uniform. This is also supported by the FTIR analysis results, which indicate the presence of the strongest Hf<img>O and Hf-O-Hf vibrational bonds, thereby confirming the formation of an HfO₂ layer on the Cu surface. AFM results show an increase in surface topography roughness, caused by island-type growth (Volmer-Weber), as the thickness of the HfO₂ layer increases. The XRD results for un-coated sample shows sharp and clear diffraction peaks and indicates face-centered cubic (FCC) phase pattern of pure Cu nanoparticles. When the HfO<sub>2</sub> layer added Cu layer, XRD pattern shows the formation of a broad hump in the range of 2θ ≈ 28°–35° and HfO<sub>2</sub> layer formed is in the amorphous state. These results are correlated with the contact angle test results. UV–Vis results show that 300 nm HfO₂ coted films has the highest transmittance value across the entire wavelength range, as well as the lowest absorbance value. The 300 nm HfO₂ coating demonstrated optimal corrosion protection with 21.2 % reduction in corrosion current density (from 11.3 to 8.89 μA/cm<sup>2</sup>) and 29 % increase in polarization resistance (from 1.45 to 1.87 kΩ cm<sup>2</sup>) in artificial sweat environment. Finally, surface wettability studies revealed that increased hydrophobicity (contact angle:49.13° to 57.99°) was correlated with enhanced corrosion barrier performance. These findings establish RF-sputtered HfO₂ as a viable, scalable solution for copper protection in next-generation microelectronic and wearable biosensor applications.</div></div>","PeriodicalId":51131,"journal":{"name":"Microelectronics Reliability","volume":"176 ","pages":"Article 115985"},"PeriodicalIF":1.9,"publicationDate":"2025-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145789706","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Thermo-mechanical co-design of 2.5D flip-chip packages with silicon and glass interposers via finite element analysis and machine learning 通过有限元分析和机器学习,采用硅和玻璃中间层的2.5D倒装芯片封装的热-机械协同设计
IF 1.9 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-12-15 DOI: 10.1016/j.microrel.2025.115983
Mohammad Rafiee , Farough Agin , Kuldeep Kumar , Ezhilan Murali
Advanced 2.5D flip-chip packages with silicon/glass interposers may pose tightly coupled thermo-mechanical trade-offs. This work presents a simulation-driven, machine-learning-assisted co-design framework that links high-fidelity finite-element analysis (FEA) with surrogate modeling, multi-objective optimization, and decision analysis. A 3D FEA model generates 500 Latin Hypercube design points for type of analysis (thermal and reliability), spanning geometry, materials, and thermal-path variables. Four minimized objectives are considered: junction-to-ambient thermal resistance (ΘJA) and cycle-averaged plastic strain-energy density at the corner flip-chip cu-pillar bump (ΔWbump), C4 bump (ΔWC4), and BGA (ΔWBGA). Tree-based regressors (Random Forest, XGBoost) achieve high test-set fidelity and drive NSGA-II to enumerate the Pareto domain. A Net Flow multi-criteria decision method (MCDM) ranks Pareto candidates to identify a champion design with balanced thermo-mechanical performance. Re-simulation of the champion in FEA confirms surrogate accuracy for dominant responses (≈4–5 % deviation for ΔWbumpand ΔWC4) and exact agreement for ΘJA, while revealing weak coupling between thermal and mechanical objectives—enabling partial decoupling of heat-path optimization from interconnect reliability.
采用硅/玻璃中间体的先进2.5D倒装芯片封装可能会造成紧密耦合的热机械权衡。这项工作提出了一个仿真驱动的、机器学习辅助的协同设计框架,将高保真有限元分析(FEA)与代理建模、多目标优化和决策分析联系起来。三维有限元分析模型生成500个拉丁超立方体设计点,用于分析类型(热和可靠性),涵盖几何形状、材料和热路径变量。考虑了四个最小化目标:结对环境热阻(ΘJA)和拐角倒装芯片铜柱凸起处的循环平均塑性应变能密度(ΔWbump), C4凸起(ΔWC4)和BGA (ΔWBGA)。基于树的回归器(Random Forest, XGBoost)实现了高测试集保真度,并驱动NSGA-II枚举Pareto域。净流多准则决策方法(Net Flow multi-criteria decision method, MCDM)对候选Pareto进行排序,以确定具有平衡热机械性能的冠军设计。FEA中冠军的重新模拟证实了主导响应的替代准确性(ΔWbumpand ΔWC4的偏差≈4 - 5%)和ΘJA的精确一致性,同时揭示了热学和机械目标之间的弱耦合-实现了热路径优化与互连可靠性的部分解耦。
{"title":"Thermo-mechanical co-design of 2.5D flip-chip packages with silicon and glass interposers via finite element analysis and machine learning","authors":"Mohammad Rafiee ,&nbsp;Farough Agin ,&nbsp;Kuldeep Kumar ,&nbsp;Ezhilan Murali","doi":"10.1016/j.microrel.2025.115983","DOIUrl":"10.1016/j.microrel.2025.115983","url":null,"abstract":"<div><div>Advanced 2.5D flip-chip packages with silicon/glass interposers may pose tightly coupled thermo-mechanical trade-offs. This work presents a simulation-driven, machine-learning-assisted co-design framework that links high-fidelity finite-element analysis (FEA) with surrogate modeling, multi-objective optimization, and decision analysis. A 3D FEA model generates 500 Latin Hypercube design points for type of analysis (thermal and reliability), spanning geometry, materials, and thermal-path variables. Four minimized objectives are considered: junction-to-ambient thermal resistance (<span><math><msub><mi>Θ</mi><mi>JA</mi></msub></math></span>) and cycle-averaged plastic strain-energy density at the corner flip-chip cu-pillar bump (<span><math><mi>Δ</mi><msub><mi>W</mi><mtext>bump</mtext></msub></math></span>), C4 bump (<span><math><mi>Δ</mi><msub><mi>W</mi><mrow><mi>C</mi><mn>4</mn></mrow></msub></math></span>), and BGA (<span><math><mi>Δ</mi><msub><mi>W</mi><mi>BGA</mi></msub></math></span>). Tree-based regressors (Random Forest, XGBoost) achieve high test-set fidelity and drive NSGA-II to enumerate the Pareto domain. A Net Flow multi-criteria decision method (MCDM) ranks Pareto candidates to identify a champion design with balanced thermo-mechanical performance. <em>Re</em>-simulation of the champion in FEA confirms surrogate accuracy for dominant responses (≈4–5 % deviation for <span><math><mi>Δ</mi><msub><mi>W</mi><mtext>bump</mtext></msub><mspace></mspace></math></span>and <span><math><mi>Δ</mi><msub><mi>W</mi><mrow><mi>C</mi><mn>4</mn></mrow></msub></math></span>) and exact agreement for <span><math><msub><mi>Θ</mi><mi>JA</mi></msub></math></span>, while revealing weak coupling between thermal and mechanical objectives—enabling partial decoupling of heat-path optimization from interconnect reliability.</div></div>","PeriodicalId":51131,"journal":{"name":"Microelectronics Reliability","volume":"176 ","pages":"Article 115983"},"PeriodicalIF":1.9,"publicationDate":"2025-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145789715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Comparative study of extrapolation methods for solder joint lifetime estimation using crack length data 利用裂纹长度数据估算焊点寿命的外推方法比较研究
IF 1.9 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-12-12 DOI: 10.1016/j.microrel.2025.115976
Dorottya Varga , Zsombor Olajos , Gabor Belina
Estimating solder joint lifetime often involves extrapolating crack length measurements from cross-sectional images to a defined end-of-life (EoL) criterion. The original pearl string method fits a single regression line to all data points, which can result in unrealistic predictions, such as negative slopes or failure times. To address these issues, an alternative pearl string method was proposed, incorporating a fixed crack-free time (CFT) ratio to better reflect actual damage evolution. This study compares the two methods in terms of robustness, accuracy, and statistical consistency. The alternative method fits individual crack propagation curves for each specimen, enabling lifetime estimation in destructive testing with limited measurement points. Outlier sensitivity analysis showed that the original method is highly affected by anomalous data, while the alternative method exhibited minimal change. Goodness-of-fit evaluation using the Kolmogorov–Smirnov test confirmed that the alternative method aligns more closely with the validation data (p = 0.09 and 0.22), unlike the original method (p = 3.66 × 10−6 and 1.20 × 10−8). In conclusion, the alternative pearl string method offers a more robust and physically meaningful approach for lifetime extrapolation, especially in contexts with limited or noisy data.
估计焊点寿命通常涉及从横截面图像推断裂纹长度测量到定义的寿命终止(EoL)标准。原始的珍珠串方法将单个回归线拟合到所有数据点,这可能导致不切实际的预测,例如负斜率或失效时间。为了解决这些问题,提出了一种替代的珍珠管柱方法,该方法结合了固定的无裂纹时间(CFT)比,以更好地反映实际的损伤演变。本研究在稳健性、准确性和统计一致性方面比较了两种方法。另一种方法适合每个试样的单独裂纹扩展曲线,使得在有限测点的破坏性测试中进行寿命估计。异常值敏感性分析表明,原始方法受异常数据影响较大,而替代方法变化较小。使用Kolmogorov-Smirnov检验的拟合优度评估证实,与原始方法(p = 3.66 × 10 - 6和1.20 × 10 - 8)不同,替代方法与验证数据更接近(p = 0.09和0.22)。总之,替代珍珠管柱方法为寿命外推提供了一种更可靠、更有物理意义的方法,特别是在数据有限或有噪声的情况下。
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引用次数: 0
Uncertainty quantification in microelectronic packaging using feedback-enhanced adaptive polynomial chaos expansion 基于反馈增强自适应多项式混沌展开的微电子封装不确定度量化
IF 1.9 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-12-08 DOI: 10.1016/j.microrel.2025.115973
Guozhuang Fan , Jinzhu Zhou , Qiangqiang Lin , Jiancheng Shi
This paper presents a feedback-enhanced adaptive polynomial chaos modeling framework for robust performance prediction of microelectronic packages incorporating wire bonding, with the aim of addressing process-induced variability in advanced packaging environments. To tackle persistent reliability challenges in microelectronic assembly—particularly those associated with gold wire bonding—the proposed approach integrates adaptive kernel density estimation with residual-driven basis refinement to dynamically model non-Gaussian process fluctuations observed across manufacturing batches. By incorporating an online feedback loop, the model autonomously adjusts to process drift and parameter shifts, enabling real-time response to deviations in the packaging workflow. Validation on a 16-channel microelectronic module demonstrates that the proposed approach maintains high prediction accuracy across varying production conditions, with over 98 % of measured samples falling within the predicted confidence bounds. The method effectively models packaging-induced performance variability and serves as a data-driven tool for manufacturing-oriented uncertainty quantification and predictive control in high-frequency module production.
本文提出了一种反馈增强的自适应多项式混沌建模框架,用于结合线键合的微电子封装的鲁棒性能预测,旨在解决先进封装环境中工艺引起的可变性。为了解决微电子组装中持续存在的可靠性挑战,特别是与金丝键合相关的问题,该方法将自适应核密度估计与残差驱动基精化相结合,以动态建模在制造批次中观察到的非高斯过程波动。通过整合在线反馈回路,该模型可以自动调整过程漂移和参数变化,从而对包装工作流程中的偏差做出实时响应。在16通道微电子模块上的验证表明,所提出的方法在不同的生产条件下保持较高的预测精度,超过98%的测量样品落在预测的置信范围内。该方法有效地模拟了封装引起的性能变化,并为高频模块生产中面向制造的不确定性量化和预测控制提供了数据驱动工具。
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引用次数: 0
Investigation of interface traps properties induced by NBTI effects at different interfaces of VDMOS NBTI效应在VDMOS不同界面诱导的界面陷阱特性研究
IF 1.9 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-12-08 DOI: 10.1016/j.microrel.2025.115977
Yanyong Wang , Liang He , Yanfang Li , Zhenni Wang , Zhongyang Li , Hao Zhou , Kaihe Liu , Maolin Zhang
This paper investigates the negative bias temperature instability (NBTI) of P-channel vertical double-diffused MOSFETs (VDMOS). The threshold voltage (VTH) shift in VDMOS due to NBTI is primarily caused by the generation of oxide charge and interface traps in the gate oxide layer. The interface traps at the VDMOS drain interface and channel were investigated using the Direct-Current Current-Voltage (DCIV) technique and the conductance method, respectively. The results indicate that NBTI stress induces a higher density of interface traps in the channel region. Through TCAD simulation, it was discovered that the electric field intensity in the channel region exceeds that at the drain interface under negative bias. This larger electric field intensity causes increased dissociation of interface hanging bonds, ultimately leading to a greater number of interface traps in the channel region.
研究了p沟道垂直双扩散mosfet (VDMOS)的负偏置温度不稳定性(NBTI)。NBTI在VDMOS中引起的阈值电压(VTH)偏移主要是由于栅极氧化层中氧化电荷和界面陷阱的产生。采用直流电压法(DCIV)和电导法分别研究了VDMOS漏极界面和沟道的界面陷阱。结果表明,NBTI应力在通道区诱导了更高密度的界面陷阱。通过TCAD仿真发现,在负偏压下,沟道区域的电场强度大于漏极界面处的电场强度。这种较大的电场强度导致界面悬垂键解离增加,最终导致通道区域界面陷阱数量增加。
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引用次数: 0
Investigation of thermal contact resistance, incident depth, incident angle, drain voltage and ambient temperature on single event transient during self-heating 自热过程中单事件瞬态的热接触电阻、入射深度、入射角、漏极电压和环境温度的研究
IF 1.9 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Pub Date : 2025-12-08 DOI: 10.1016/j.microrel.2025.115979
Yan Liu , Yanhua Ma , Chong Pan
In this work, the impacts of thermal contact resistance (SR), incident depth, incident angle, drain voltage and ambient temperature on the nanosheet characteristics under single event transient during self-heating are investigated using 3D computer-aided design. The results show that the self-heating reduces the maximum transient current under single event transient by 12.65 %. This attributes to the fact that the self-heating increases lattice temperature, thereby reducing the mobility and linear energy transfer. Moreover, the maximum transient current decreases by 9.69 % with an increase of SR. Besides, the increasing incident depth arises the maximum transient current by 9.80 %. Meanwhile, an increase in incident angle decreases the maximum transient current by 0.44 %. Furthermore, as the drain voltage increases, the maximum transient current rises by 16.09 %. Additionally, the increasing ambient temperature reduces the maximum transient current by 10.72 %.
本文采用三维计算机辅助设计,研究了热接触电阻(SR)、入射深度、入射角、漏极电压和环境温度对纳米片自加热过程中单事件瞬态特性的影响。结果表明,自加热使单事件暂态下的最大暂态电流降低了12.65%。这是由于自加热提高了晶格温度,从而降低了迁移率和线性能量传递。最大瞬态电流随入射深度的增加而减小9.69%,最大瞬态电流随入射深度的增加而增大9.80%。同时,入射角的增加使最大瞬态电流降低0.44%。此外,随着漏极电压的增加,最大瞬态电流增加了16.09%。另外,随着环境温度的升高,最大瞬态电流降低了10.72%。
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Microelectronics Reliability
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