Microelectronics Reliability最新文献

{"title":"Study of trapping mechanisms affecting AlGaN/GaN HEMTs adopting AlGaN back-barriers with different aluminum concentrations","authors":"Andrea Carlotto,&nbsp;Fabiana Rampazzo,&nbsp;Marco Saro,&nbsp;Francesco De Pieri,&nbsp;Manuel Fregolent,&nbsp;Carlo De Santi,&nbsp;Gaudenzio Meneghesso,&nbsp;Matteo Meneghini,&nbsp;Enrico Zanoni","doi":"10.1016/j.microrel.2025.115758","DOIUrl":"10.1016/j.microrel.2025.115758","url":null,"abstract":"<div><div>The influence of different Aluminum concentrations in the AlGaN back-barrier on short-channel and dispersion effects of 0.45 μm-gate AlGaN/GaN HEMTs has been studied. Four samples have been tested, one as reference without back-barrier but with a Fe-doped GaN buffer, and three with an AlGaN back-barrier with respectively a 0.5 %, 1 % and 1.5 % Aluminum. Back-barrier devices have lower current collapse with respect to the reference, the latter being affected by trapping at Fe-induced defects and at deep levels induced by residual C. Devices with 1.5 % Al show subthreshold characteristics comparable with those of reference, but 50 % lower current collapse. 1 % Al back-barrier devices show very low drain-source leakage in pinch-off conditions and as a consequence the lowest dispersion effects.</div></div>","PeriodicalId":51131,"journal":{"name":"Microelectronics Reliability","volume":"170 ","pages":"Article 115758"},"PeriodicalIF":1.6,"publicationDate":"2025-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143900147","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}

{"title":"Spacecraft sensor data reliability improvement based on spatio-temporal information fusion model","authors":"Yingqi Wang ,&nbsp;Yuchen Song ,&nbsp;Runze Yu ,&nbsp;Shengwei Meng ,&nbsp;Yu Peng ,&nbsp;Datong Liu","doi":"10.1016/j.microrel.2025.115774","DOIUrl":"10.1016/j.microrel.2025.115774","url":null,"abstract":"<div><div>Spacecraft sensor data is crucial for evaluating the operating status and environment of spacecraft. However, due to factors such as component aging, space environment interference, and unstable satellite-to-ground communication, obtaining high-reliability sensor data is challenging. Additionally, the high dimensionality, complex correlations, strong temporal dependencies, and noise in sensor data further complicate efforts to improve data reliability. To address these challenges, this paper proposes a sensor reliability improvement method based on a multi-layer spatio-temporal information fusion model (STIFM). First, a moving average filter is applied to the raw data to reduce the impact of noise on modeling. Next, the Transformer model is used to establish data estimation models for different sensors in spatial scale and the same sensor in temporal scale. The outputs from these spatiotemporal models are then fused using particle filtering, and the uncertainty of the results is quantitatively assessed. Based on this, data anomaly detection and recovery are performed using the confidence interval of the STIFM output. Finally, the proposed method is validated using satellite flywheel on-orbit data. Experimental results show that the proposed method achieves at least 93.55 % accuracy in abnormal scenarios and significantly extends the mean time to failures (MTTF), outperforming existing methods. This indicates that the method proposed in this paper can effectively enhance the reliability of spacecraft sensor data.</div></div>","PeriodicalId":51131,"journal":{"name":"Microelectronics Reliability","volume":"170 ","pages":"Article 115774"},"PeriodicalIF":1.6,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143895366","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}

{"title":"Design-of-Experiments and ALT plan for reliability qualification of chip resistors based on mission profile of AIMDs","authors":"F.-E. Indmeskine ,&nbsp;L. Saintis ,&nbsp;A. Kobi ,&nbsp;H. Marceau","doi":"10.1016/j.microrel.2025.115773","DOIUrl":"10.1016/j.microrel.2025.115773","url":null,"abstract":"<div><div>Chip resistors are integral components of electronic devices, including Active Implantable Medical Devices. This work, as part of RECOME project, is focusing on developing a methodology for defining accelerated life test plans to qualify chip resistors as per the mission profile of AIMDs. This will be done by combining design of experiments and accelerated life tests associated with failure mechanisms. Defining test protocols, such as thermal cycling, will be a critical component of this work.</div></div>","PeriodicalId":51131,"journal":{"name":"Microelectronics Reliability","volume":"170 ","pages":"Article 115773"},"PeriodicalIF":1.6,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143895365","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}

{"title":"Alumina layers deposited with different precursors for different microelectronic applications","authors":"Vl. Kolkovsky,&nbsp;R. Stübner","doi":"10.1016/j.microrel.2025.115769","DOIUrl":"10.1016/j.microrel.2025.115769","url":null,"abstract":"<div><div>Alumina thin films are widely used as barriers in HF etch processes in modern microelectronics. In various microelectronic applications, films deposited on driving electrodes of MEMS devices, such as those made of alumina, might be responsible for various charging effects leading to the degradation of actuator performances. This necessitates high-quality alumina layers with a low density of defects and interface states. In the present study, we compare the electrical properties of alumina layers deposited with different oxidants (ozone and water) using the atomic layer deposition technique. Capacitance-voltage measurements reveal that all as-deposited alumina layers contain negatively charged defects, but their concentration is significantly higher in layers prepared with ozone. The origin of these defects will be discussed. Furthermore, we demonstrate that the density of interface states in layers prepared with ozone is also significantly higher compared to those prepared with water. However, this can be optimized by varying the deposition temperature or the flow of O₃. Such defects also influence current-voltage characteristics, which are also analysed in this study.</div></div>","PeriodicalId":51131,"journal":{"name":"Microelectronics Reliability","volume":"170 ","pages":"Article 115769"},"PeriodicalIF":1.6,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143887881","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}

{"title":"Warpage prediction of fan-out wafer-level package based on coupled deep learning and finite element simulation","authors":"Xiaohui Zhao ,&nbsp;Hao Zheng ,&nbsp;Zhiyan Zhao ,&nbsp;Mengxuan Cheng ,&nbsp;Wenqian Li ,&nbsp;Guoshun Wan ,&nbsp;Yuxi Jia","doi":"10.1016/j.microrel.2025.115759","DOIUrl":"10.1016/j.microrel.2025.115759","url":null,"abstract":"<div><div>In recent years, fan-out wafer-level package (FOWLP) has gained widespread attention in integrated circuit industry due to its significant potential in enhancing packaging performance, reducing costs and minimizing size. However, accurate prediction of warpage in FOWLP remains a formidable challenge, as conventional prediction methods often suffer from prolonged iterative cycles and high computational costs. This study integrates the finite element method (FEM) with artificial intelligence (AI) techniques to develop highly accurate and efficient warpage prediction model for FOWLP based on varying chip sizes and spacings. Automated modeling and data generation were performed using simulation technique and python scripts, resulting in the creation of two datasets of different scales for regression training and optimization. Prediction results indicate that Residual Network-152 (ResNet-152) performs best on smaller datasets, while Global Context Vision Transformer-Tiny (GCViT-Tiny) exhibits greater stability on larger datasets. The Huber loss function was employed to optimize the deep learning (DL) model weights through backpropagation, significantly improving both training efficiency and prediction accuracy. Additionally, the reliability and practicality of the DL model were validated by performing simulations and AI predictions on structures not included in the dataset. Finally, the trained DL model provided brief technical guidance for optimizing warpage in wafers for the integrated circuit industry. In terms of efficiency, DL models offer a clear advantage in industrial applications. The research results provide effective theoretical support and practical guidance for FOWLP optimum design and reliability assessment, demonstrating significant application potential.</div></div>","PeriodicalId":51131,"journal":{"name":"Microelectronics Reliability","volume":"170 ","pages":"Article 115759"},"PeriodicalIF":1.6,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143878531","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}

{"title":"Series AC arc fault detection method based on spectrogram and deep residual network","authors":"Wenxin Dai,&nbsp;Xue Zhou,&nbsp;Zhigang Sun,&nbsp;Guofu Zhai","doi":"10.1016/j.microrel.2025.115756","DOIUrl":"10.1016/j.microrel.2025.115756","url":null,"abstract":"<div><div>The extended and excessive use of power equipment can hasten the aging of circuit cables, resulting in arc faults. The generation of arc fault will not only affect the performance of power equipment, but also bring about safety hazards. Therefore, it is necessary to detect arcing in circuits. This paper presents a framework for detecting series arc faults based on spectrogram and deep residual network. The problem of current signal detection can be converted into the problem of image recognition by this framework. In this framework, the current signal is converted into a spectrogram, which enables the characterisation of the current signal from a multi-domain perspective. Then, a deep residual network model is used to recognize the spectrogram and determine the type of arc fault. Finally, the current data is used to demonstrate the effectiveness and accuracy of the proposed method. The results show that the proposed method is able to achieve accurate arc fault detection with an accuracy of 97.50 %.</div></div>","PeriodicalId":51131,"journal":{"name":"Microelectronics Reliability","volume":"170 ","pages":"Article 115756"},"PeriodicalIF":1.6,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143874456","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}

{"title":"Identification of mechanical responses of interconnect structures based on Bayesian regularization under board-level drop impact","authors":"Xu Long,&nbsp;Yuntao Hu","doi":"10.1016/j.microrel.2025.115755","DOIUrl":"10.1016/j.microrel.2025.115755","url":null,"abstract":"<div><div>To address the challenge of directly measuring the mechanical response of critical interconnect structures in board-level packaging structures, which is complicated by the inherent complexity of electronic components, a load identification methodology is first proposed in this study. This methodology is established based on finite element (FE) analysis to accurately identify the critical failure points in the key interconnect structures of board-level packaging. Furthermore, an indirect measurement method based on Bayesian regularization is proposed for load identification to comprehensively capture the stress conditions of critical structural components in the board-level packaging structures subjected to drop impact. During the impact process, the solder joints at the corners beneath the edge areas experience the maximum stress and strain, making them more prone to failure. The normal stress in the Z-direction (<em>S</em>₃₃) perpendicular to the printed circuit board (PCB), which is the maximum stress component, is the primary cause of damage to the interconnect structure. To address the ill-posed problem in load identification, such as the instability due to the inversion of ill-conditioned matrices and sensitivity to noise, an improved Bayesian method using augmented Tikhonov regularization is introduced. The proposed method incorporates a wavelet thresholding technique to solve the problem of poor load identification accuracy under high noise levels. It adaptively determines the optimal regularization parameters during the identification process and effectively removes the noise impact on load recognition. The established response identification methodology is capable of achieving relatively small relative error (<em>RE</em>) and high correlation coefficients when identifying the mechanical response of critical interconnections in board-level packaging structures. Furthermore, both the smoothness of the response curve and the accuracy of peak value identification are ensured. The effect of varying numbers of input points on the identification results is also considered. The results show that more input points provide more effective constraints, thereby improving recognition accuracy. Under dual-input conditions, the <em>RE</em> is controlled below 8 % at medium to low noise levels, and remains below 10 % at high noise levels, providing an effective approach for effective stress analysis during the drop impact process.</div></div>","PeriodicalId":51131,"journal":{"name":"Microelectronics Reliability","volume":"170 ","pages":"Article 115755"},"PeriodicalIF":1.6,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143874455","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}

{"title":"Preliminary 2D elastoplastic modeling of gate cracking in SiC MOSFETs under short-circuit conditions across a wide temperature-range using rankine's damage energetic approach","authors":"Mustafa Shqair,&nbsp;Emmanuel Sarraute,&nbsp;Frédéric Richardeau","doi":"10.1016/j.microrel.2025.115757","DOIUrl":"10.1016/j.microrel.2025.115757","url":null,"abstract":"<div><div>For the first time in SiC MOSFETs, structural and physical modeling of the Intermediate-Layer-Dielectric (ILD) cracking in a planar gate under short-pulse short-circuit conditions is proposed. This approach employs an energy-based Rankine damage model, relying on the SiO₂ mechanical properties. The Rankine model has been effectively integrated into a comprehensive 2D electrothermal-metallurgical and elastoplastic-mechanical model across a wide range of temperatures. Initial results enable the extraction of crack penetration depth from a single pulse, paving the way for estimating the average number of critical cycles leading to a potentially complete destructive ILD fracture.</div></div>","PeriodicalId":51131,"journal":{"name":"Microelectronics Reliability","volume":"170 ","pages":"Article 115757"},"PeriodicalIF":1.6,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143870279","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}

{"title":"Impact of IGBT emitter pad design and front-side aging on switching stability and temperature distribution","authors":"C. Bäumler,&nbsp;T. Basler","doi":"10.1016/j.microrel.2025.115738","DOIUrl":"10.1016/j.microrel.2025.115738","url":null,"abstract":"<div><div>This work offers a comprehensive study on temperature determination and development of IGBTs via temperature-sensitive parameters (TSEPs) during repetitive switching events. The obtained information is discussed and judged with respect to accuracy for different device technologies. This evaluation is extended by the aspect of artificial front-side aging for different emitter-pad designs. For two different designs investigated, no decreased switching robustness could be verified, even beyond the AQG 324 [1] lifetime border, which is defined by a certain forward voltage drop increase.</div></div>","PeriodicalId":51131,"journal":{"name":"Microelectronics Reliability","volume":"170 ","pages":"Article 115738"},"PeriodicalIF":1.6,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143874454","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}

{"title":"Reliability study and optimization of TSV interconnections with silicon interposer under random vibration","authors":"Jinjie Xu ,&nbsp;Shenglin Yu ,&nbsp;Yizhou Chen","doi":"10.1016/j.microrel.2025.115753","DOIUrl":"10.1016/j.microrel.2025.115753","url":null,"abstract":"<div><div>As aerospace electronic devices continue to develop in the direction of miniaturization and high integration, 2.5D packaging technology has become a key breakthrough in aerospace chip research and development by virtue of its unique advantages. However, there is a lack of sufficient research on the reliability of 2.5D packaging in the severe vibration environment of the launch phase of the current space launch vehicle. Based on the finite element method, the reliability of the through silicon via (TSV) interconnect structure in the silicon interposer of 2.5D packaging under severe vibration environments is investigated, and the maximum stress of the micro-bumps, TSV-Cu, and C4 bumps at different locations are analyzed. It is found that the maximum stress of the micro-bumps and C4 bumps gradually decrease from the outside to the inside, and that the maximum stress of the TSV-Cu first decrease and then slightly increase. The fatigue life prediction of each part of the interconnect structure reveals that the micro-bumps are most likely to fail due to fatigue. To address this issue, a structural optimization design is carried out by using orthogonal tests with the micro-bump diameter, the micro-bump height, the thickness of the insulating layer, and the material of the bumps as the test factors for the micro-bumps’ maximum stress. The micro-bumps’ maximum stress are reduced by 36.3% after the optimization.</div></div>","PeriodicalId":51131,"journal":{"name":"Microelectronics Reliability","volume":"170 ","pages":"Article 115753"},"PeriodicalIF":1.6,"publicationDate":"2025-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143870278","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}