Khristopherson C. Cajucom, Arnulfo Evangelista, Isovelle Adrias, Ryan Ordiales, Godofredo Arnaiz
{"title":"A Quick and Intuitive Approach of Handeling In-Amp Failures Towards Lower Cycle Time and Improving Failure Mechanism Confidence and Quality","authors":"Khristopherson C. Cajucom, Arnulfo Evangelista, Isovelle Adrias, Ryan Ordiales, Godofredo Arnaiz","doi":"10.31399/asm.cp.istfa2022p0086","DOIUrl":"https://doi.org/10.31399/asm.cp.istfa2022p0086","url":null,"abstract":"\u0000 The instrumentation amplifier products are high-volume runner products hence, also a high volume of returns are encountered at Failure Analysis Department. To solve each return would need a highly structured technique that requires extensive plot of results for the determination of proper failure mechanism. A perceptive approach that the Failure Analyst deal with in solving the different issues encountered is the compilation of failure data using commonality study of returns with summary that can easily be seen on a Measles chart. A compilation of complete list of historical analysis with circuit block layout designation, test methods, signature cases, microprobing and circuit analysis collaboration results are consolidated in one file to help guide the Analyst in determining the exact cause of failure, thus improving quality and turnaround time that translates to cycle time improvement of 56% CT days reduction hence creating value to the customer.","PeriodicalId":417175,"journal":{"name":"International Symposium for Testing and Failure Analysis","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128067944","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"AI Application in Yield and Failure Analysis to Reduce Overall Time-to-Defect and Failure Root-Cause Isolation","authors":"Sailesh Suthar, Lay Lay Goh","doi":"10.31399/asm.cp.istfa2022p0402","DOIUrl":"https://doi.org/10.31399/asm.cp.istfa2022p0402","url":null,"abstract":"\u0000 This paper presents conceptual application of AI in Failure Analysis to connect to various databases in semiconductor manufacturing and generating interactive data visualization to isolate root cause of failure faster vs traditional methods. Generally available low-cost software application like Microsoft Power BI (Business Intelligence) is utilized to visualize big data to isolate failure modes at wafer, die, and package level. This historic data visualization knowledge is further used by failure analyst to process failure mode isolation much faster based on failed package unit history. Semiconductor manufacturing companies have various big data such as wafer fab processing, die level test, or wafer sort and packaged die testing including customer return. MS Power BI application has ability to connect to these separate big databases and create unified data visualization to isolate failure modes through faster inter-connectivity and \"connecting the dots\" to provide bigger picture or drill down to finer unit level detail. This level of visualization utilizes already available info/data to help reduce overall time-to-defect. With this failure background, engineers can plan fault isolation and analysis and reduce overall time to find root-cause of failure.","PeriodicalId":417175,"journal":{"name":"International Symposium for Testing and Failure Analysis","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132483339","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
K. Dickson, G. Lange, K. Serrels, Jose Garcia, K. Erington, D. Bodoh, K. Yang, Jianxun Mou
{"title":"Differential Laser Voltage Probe—A New Approach to a Fundamental Technique","authors":"K. Dickson, G. Lange, K. Serrels, Jose Garcia, K. Erington, D. Bodoh, K. Yang, Jianxun Mou","doi":"10.31399/asm.cp.istfa2022p0144","DOIUrl":"https://doi.org/10.31399/asm.cp.istfa2022p0144","url":null,"abstract":"\u0000 Laser Voltage Probing (LVP) is an essential Failure Analysis (FA) technique that has been widely adopted by the industry. Waveforms that are collected allow for the analyst to understand various internal failure modes related to timing or abnormal circuit behavior. As technology nodes shrink to the point where multiple transistors reside within the diffraction-limited laser spot size, interpretation of the waveforms can become extremely difficult. In this paper we discuss some of the evolving challenges faced by LVP and propose a new technique known as Differential LVP (dLVP) that can be used to debug marginal failing devices that exhibit a pass/fail boundary in their shmoo plot. We demonstrate how separate pass and fail LVP waveforms can be collected simultaneously and compared to immediately identify whether logic is corrupted and when the corruption occurs. The benefits of this new technique are many. They include guarantees of equivalent pass vs. fail data independent of crosstalk, system noise, stage drift, probe placement, temperature effects, or the diffraction-limited resolution of the probe system. Implementing dLVP into existing tools could extend their effective lifetimes and improve their efficacy related to the demands posed by the debug of 5nm technologies and smaller geometries. We anticipate that fully integrated and evolved dLVP will complement workhorse FA applications such as Laser Assisted Device Alteration (LADA) and Soft Defect Localization (SDL) analysis. Wherein those techniques map timing marginalities propagating to, and observed by, a capture flop, dLVP can extend such capabilities by identifying the first instance of corrupted logic inside the flop and map the corruption all the way to the chip output pin.","PeriodicalId":417175,"journal":{"name":"International Symposium for Testing and Failure Analysis","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114976429","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Impact of Ambient Humidity on the Surface Conductance of SiNx Films for Application in Capacitive MEMS Switches","authors":"D. Birmpiliotis, G. Papaioannou","doi":"10.31399/asm.cp.istfa2022p0337","DOIUrl":"https://doi.org/10.31399/asm.cp.istfa2022p0337","url":null,"abstract":"\u0000 The present paper provides an inexpensive method to assess the surface charge density variance directly in capacitive MEMS switches. It was found experimentally that the charge variance decay is directly associated with the presence of ambient humidity, which increases the dielectric film surface conductance. This result is qualitatively confirmed with the aid of interdigitated comb structures, where the same behavior was detected.","PeriodicalId":417175,"journal":{"name":"International Symposium for Testing and Failure Analysis","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121890127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Case Study on Sample Preparation Method to Eliminate the Artifact for Auger Analysis on Bond Pad","authors":"Hemalatha Somu","doi":"10.31399/asm.cp.istfa2022p0422","DOIUrl":"https://doi.org/10.31399/asm.cp.istfa2022p0422","url":null,"abstract":"\u0000 In today’s advanced technology world, electronic devices are playing a key role in modern semiconductor products to improve the energy proficiency. These devices are required to be contamination free especially on the bond pad with good adhesion before wire bonding process at the back end. Contamination on the bond pad leads to reliability issues such as pad corrosion, delamination and failure leading to leakage and open fails of electronic devices. Therefore, detection accuracy and sensibility of contamination is important. Auger analysis is the most suitable technique to check bond pad contamination. Auger electron spectroscopy has the capability of analyzing compositional information with excellent spatial resolution. However, charging, noise or artifact is known to be a major concern to the characterization of insulating materials. This paper outlines the strategy that has been utilized to minimize the artifact, noise or charging impact for Auger investigation on a smaller bond pad surrounded by imide passivation layers. The imide passivation layer normally causes the charging effect during Auger analysis, which makes the Auger analysis difficult to be proceed. In addition to that, the charging effect leads to inaccurate analysis. In this paper, we demonstrate a sample preparation method to minimize the charging and artifact of Auger analysis especially for small bond pads.","PeriodicalId":417175,"journal":{"name":"International Symposium for Testing and Failure Analysis","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117099971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
D.H. Han, Hoonchang Yang, Jinyeong Hwang, Jinseon Kim, K. Cho, Incheol Nam, D. Kim, Beomseop Lee, Sungsoo Yim, Hee-Il Hong, Jooyoung Lee
{"title":"Analysis of Retention Failure by Bulk Trap in DRAM","authors":"D.H. Han, Hoonchang Yang, Jinyeong Hwang, Jinseon Kim, K. Cho, Incheol Nam, D. Kim, Beomseop Lee, Sungsoo Yim, Hee-Il Hong, Jooyoung Lee","doi":"10.31399/asm.cp.istfa2022p0362","DOIUrl":"https://doi.org/10.31399/asm.cp.istfa2022p0362","url":null,"abstract":"\u0000 DRAM is a type of memory that stores each bit of data in a capacitor cell, leakage current is a very important electrical parameter to retain data. Therefore, larger cell capacitance and smaller leakage current have been regarded as key factors in continuous shrinkage of DRAM. Generally, gate induced drain leakage (GIDL) and junction leakage of cell transistor (CTR) are well-known, but our approach is focused on retention failure by bulk trap. In order to electrically observe the influence of bulk trap, we used the adjacent gate of CTR to control electron migration. Results show that there are many failure cells due to bulk trap, and dimension shrinkage accelerates this failure. Consequently, balancing among electrical bias point and transistor manufacturing process should be carefully considered with bulk traps.","PeriodicalId":417175,"journal":{"name":"International Symposium for Testing and Failure Analysis","volume":"203 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128406067","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
E. I. Cole, K. Fishgrab, D. Barton, K. Bernhard-Höfer
{"title":"Flip-Chip and Backside Techniques (2022 Update)","authors":"E. I. Cole, K. Fishgrab, D. Barton, K. Bernhard-Höfer","doi":"10.31399/asm.cp.istfa2022tpg1","DOIUrl":"https://doi.org/10.31399/asm.cp.istfa2022tpg1","url":null,"abstract":"\u0000 This presentation covers the basic physics needed to understand and to effectively apply backside IC analysis techniques to flip-chip packaged die. It describes the principles of light transmission through silicon and the factors that influence optical image formation from the backside of the wafer or die. It also provides information on the tools and techniques used to expose surfaces, regions, and features of interest for analysis. It describes the steps involved in CNC milling, mechanical grinding and polishing, reactive ion etching (RIE), laser microchemical (LMC) etching, and milling and etching by focused ion beam (FIB). It explains where and how each technique is used and quantifies the capabilities of different combinations of methods.","PeriodicalId":417175,"journal":{"name":"International Symposium for Testing and Failure Analysis","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129315656","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Improved Failure Analysis Success Rate & Efficiency Through Readiness & Smart Solutions for Bench Testing & Fault Localization","authors":"R. Kabadi, Leandro Muela","doi":"10.31399/asm.cp.istfa2022p0100","DOIUrl":"https://doi.org/10.31399/asm.cp.istfa2022p0100","url":null,"abstract":"\u0000 Failure Analysts are often required to work on a vast array of part types. These integrated circuits (IC) can have wide ranging functions and applications. Also, the ICs can be offered in a multitude of package types. All these factors compound the challenges faced by the Failure Analysts. This paper provides a brief snapshot of one approach adopted by the ON Semiconductor Product Analysis Labs to prepare in advance for the products that offer significant challenges in terms of electrical bench testing and fault localization. The approach demonstrates how the prospects of success of a given failure analysis (FA) case can be improved by making available smart solutions that cut down on the effort required for bench testing, defect localization and failure verification activities. This in turn can contribute to cycle time reduction and improve overall efficiency of the FA process.","PeriodicalId":417175,"journal":{"name":"International Symposium for Testing and Failure Analysis","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129541318","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Leveraging the Power of Arduino to Elevate the Failure Analysis Lab","authors":"Tim Watson","doi":"10.31399/asm.cp.istfa2022tpo1","DOIUrl":"https://doi.org/10.31399/asm.cp.istfa2022tpo1","url":null,"abstract":"\u0000 This presentation provides an overview of the Arduino microcontroller development board, its features and capabilities, and its integrated design environment. It also provides examples of its use in soft defect localization (SDL) and laser assisted device alteration (LADA).","PeriodicalId":417175,"journal":{"name":"International Symposium for Testing and Failure Analysis","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116205082","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Impact of PFIB Gas Assisted Delayering on MOSFET Degradation","authors":"Zvika Sapir, Oksana Dimnich, Avraham Raz","doi":"10.31399/asm.cp.istfa2022p0284","DOIUrl":"https://doi.org/10.31399/asm.cp.istfa2022p0284","url":null,"abstract":"\u0000 Delayering is an essential sample preparation step in physical failure analysis (PFA) of integrated circuits (IC). During delayering it is crucial to precisely control the endpoint and uniformity of the region of interest (ROI). Furthermore, to perform SEM based nanoprobing it is also required to end the delayering process without residues on the surface that will reduce conductivity of, or induce shorts between, isolated contacts. Delayering via mechanical polishing has been the main approach for PFA and nanoprobing. However, as the shrinkage of the interconnect layer thickness reduced below 100 nm, it has become very challenging to control the polish endpoint and to achieve robustly controlled process. Recently gas assisted Xe+ Plasma FIB (PFIB) has demonstrated uniform delayering of the metal and dielectric layers, achieving a planar surface of heterogeneous materials. The purpose of this study is to analyze the PFIB ion beam interaction with MOSFET devices, addressing ion beam damage related device degradation. We explored the final surface treatment required for nanoprobing and the impact on MOSFETs. For this purpose, we monitored device parameters after PFIB delayering final steps with different beam conditions and compare PFIB prepared samples to polished prepared samples. Consequently, we summarize the considerations of parameters for ion beam on final surface treatment.","PeriodicalId":417175,"journal":{"name":"International Symposium for Testing and Failure Analysis","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122509243","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}