The escalating demand for embedded non-volatile memories (NVM) across automotive, mobile, and personal computer applications necessitates continuous innovation in semiconductor devices. This study focuses on the failure analysis (FA) of split-gate NVM memory, which dominates the landscape of embedded NVM in advanced processes. Presenting a novel approach utilizing nanoprobe techniques on non-accessible floating gate (FG) of NVM, we aim to detect leakage pathways through electron beam absorb current (EBAC) analysis. Through comprehensive experimental analysis and case studies, we demonstrate the efficacy of electrical nanoprobing and innovative sample preparation techniques in understanding the mechanisms behind program and data retention failures in NVM. Our study highlights the significance of precise delayering and nanoprobe techniques on inaccessible FG and identifies potential avenues for future FA methodologies. These findings contribute to a deeper understanding of NVM failure mechanisms, paving the way for enhanced reliability or yield in NVM devices.

Integrated circuit (IC) de-processing is a crucial step in failure analysis (FA) for defect validation and root cause identification. The commonly used FA de-processing technique is top-down delayering, this is because of faster and easier for sample preparation. However, backside de-processing is occasionally necessary for fault isolation, better root cause understanding, and formulating the failing mechanism such as gate oxide defects, front-end of line (FEOL) defects, back-end of line (BEOL) vertical shorts, high power Ga-N on Silicon (Si) substrate device, etc. This paper introduces an innovative backside de-processing method for ICs utilizing laser ablation by employing a commercial laser decapsulation system. We thin the backside Si substrate via laser ablation and subsequent chemical etching, revealing FEOL defects. Experimental results demonstrate the method's efficiency, offering enhanced sample handling and reduced preparation time. The proposed backside laser de-processing technique proves to be a superior choice compared to conventional methods in terms of success rate, de-processing speed, and cost-effectiveness. This research contributes to advancing FA methodologies by introducing an innovative approach for backside physical FA applications, opening new possibilities for efficient and accurate IC analysis.

As semiconductor technology keeps scaling down, failure analysis and device characterizations become more and more challenging. Global fault isolation without detailed circuit information comprises the majority of foundry EFA cases. Certain suspected areas can be isolated, but further narrow-down of transistor and device performance is very important with regards to process monitoring and failure analysis. A nanoprobing methodology is widely applied in advanced failure analysis, especially during device level electrical characterization. It is useful to verify device performance and to prove the problematic structure electrically. But sometimes the EFA spot coverage is too big to do nanoprobing analysis. Then further narrow-down is quite critical to identify the suspected structure before nanoprobing is employed. That means there is a gap between global fault isolation and localized device analysis. Under these kinds of situation, PVC and AFP current image are offen options to identify the suspected structure, but they still have their limitation for many soft defect or marginal fails. As in this case, PVC and AFP current image failed to identify the defect in the spot range. To overcome the shortage of PVC and AFP current image analysis, laser was innovatively applied in our current image analysis in this paper. As is known to all, proper wavelength laser can induce the photovoltaic effect in the device. The photovoltaic effect induced photo current can bring with it some information of the device. If this kind of information was properly interpreted, it can give us some clue of the device performance.

This paper illustrated the beauty of AFP nanoprobing as the critical failure analysis tool in resolving the one-time programmable (OTP) non-volatile memory data retention failures through electrical simulation in wafer fabrication. Layout analysis, electrical simulation using Meilke’s method, UV erase methodology (to differentiate between mobile ion Meilke’s method contamination and charge trap centers) and a few other FA approaches were employed to determine the different root causes in the three OTP failure case detailed in this paper.. These include SiN trap center issue, poly stringers and abnormal layer at the initial CESL (Contact etch stop layer) nitride. This paper placed a strong emphasis on systematic problem solving approach, deep dive and use of right FA approach/tool that are essentially critical to FA analysts in wafer foundry since there is always minimal available data provided. It would serve as a good reference to wafer Fab that encountered such issue.

This paper places a strong emphasis on the importance of applying the correct FA approach in physical sample preparation to identify hidden defects that can be easily removed during analysis. A combination of mechanical parallel polishing and chemical etching was used during the sample preparation after electrical fault isolation. Such a combination is both effective and efficient in identifying the single Via punch-through from a sea of Via in MIM structure as well as finding the thin layer of barrier bridging under the Al metal. It serves as a quick way to verify any suspect without time consuming FIB progressive cuts at the hotspot location which sometimes turns out to be an induced spot with a defect located at other site due to the circuitry connection. It would serve as a good reference to wafer fab that encountered such issues.

This paper discussed on how the importance of failure analysis to identify the root cause and mechanism that resulted in the MEMS failure. The defect seen was either directly on the MEMS caps or the CMOS integrated chip in wafer fabrication. Two case studies were highlighted in the discussion to demonstrate how the FA procedures that the analysts had adopted in order to narrow down to the defect site successfully on MEMS cap as well as on CMOS chip on MEMS package units. Besides the use of electrical fault isolation tool/technique such as TIVA for defect localization, a new physical deprocessing approach based on the cutting method was performed on the MEMS package unit in order to separate the MEMS from the Si Cap. This approach would definitely help to prevent the introduction of particles and artifacts during the PFA that could mislead the FA analyst into wrong data interpretation. Other FA tool such as SEM inspection to observe the physical defect and Auger analysis to identify the elements in the defect during the course of analysis were also documented in this paper.

This paper placed a strong emphasis on the importance of applying Systematic Problem Solving approach, deep dive and use of right/appropriate FA approach/tools that are essentially critical to FA analysts to understand the “real” root cause. A case of low yield with polar failing pattern was seen and matched well with the Al Pad etch E chuck configuration. Customer also reported of passivation crack issue at the solder bumps. All these evidences suggested the root cause was related to wafer fabrication issue. However, it was through a strong “inquisitive” mindset coupled with the essence of such strong problem solving approach that led to uncover the actual root cause. Although customer test condition was not able to be duplicated due to limited information available in foundry industry, a four point probing alternative method was engaged to overcome this limitation. Unlike typical case, the AlOx thickness was comparable for bad and good dies. Further in depth analysis subsequently revealed the higher O content in the AlOx for the bad dies that was the real culprit for the higher bump resistance. This paper highlights the job of FA analyst is not simply finding defect but also plays a catalyst role in root cause/failure mechanism understanding by providing supporting FA evidence (electrically / physically) to Fab. It would serve as a good reference to wafer Fab that encountered such issue.

This paper describes the debug and analysis process of a challenging case study from wafer foundry which involved a circular patch functional leakage failure that was induced from device parametric drift due to thicker gate oxide with no detection signal from inline monitoring vehicles. It highlights the need for failure analyst to always be inquisitive and to deep dive into the failure symptoms to value-add the fab in discovering the root cause of the failure in challenging situation where information is limited.

This paper places a strong emphasis on the importance of applying Systematic Problem Solving approach and use of appropriate FA methods and tools to understand the “real” failure root cause. A case of wafer center cluster RAM fail due to systematic missing Cu was studied. It was through a strong “inquisitive” mindset coupled with deep dive problem solving that lead to uncover the actual root cause of large Cu voids. The missing Cu was due to large Cu void induced by galvanic effects from the faster removal rate during Cu CMP and subsequently resulted in missing Cu. This highlights that the FA analyst’s mission is not simply to find defects but also play a catalyst role in root cause/failure mechanism understanding by providing supporting FA evidence (electrically/ physically) to Fab.

With the evolution of advanced process technology, failure analysis is becoming much more challenging and difficult particularly with an increase in more erratic defect types arising from non-visual failure mechanisms. Conventional FA techniques work well in failure analysis on defectively related issue. However, for soft defect localization such as S/D leakage or short due to design related, it may not be simple to identify it. AFP and its applications have been successfully engaged to overcome such shortcoming, In this paper, two case studies on systematic issues due to soft failures were discussed to illustrate the AFP critical role in current failure analysis field on these areas. In other words, these two case studies will demonstrate how Atomic Force Probing combined with Scanning Capacitance Microscopy were used to characterize failing transistors in non-volatile memory, identify possible failure mechanisms and enable device/ process engineers to make adjustment on process based on the electrical characterization result. [1]

In this study, a 65nm product level low yield case has been investigated and its failure mechanism was identified. Root cause analysis was discussed and concluded. The product has been hit with ATPG failure with a unique wafer map signature - a butterfly pattern. Tools commonality and timeframe analysis show that the highly suspected process is the Metal1 Cu seed PVD step. To understand the failure mechanism and its root cause, product level FA was needed. However due to its functional failure property, the conventional EFA is not applicable in this case. Instead GDS study was performed to isolate the failure sites. Subsequently physical FA analysis was carried out at the identified sites to reveal its failure mechanism. Metal1 void was observed on the sidewall of the metal1. Meanwhile, a very interesting phenomenon was observed. If die was selected on the left part of the butterfly pattern, the void would be on the right side sidewall of the metal. If the die was selected on the right part, the void would be on the left side sidewall of the metal1. All of the voids were towards wafer center. After in-depth study of the PVD process, we suspect the pass die could also have void. These voids must be also towards wafer center. Subsequent PFA on good unit confirmed our suspect. The more detailed mechanism of the void formation was discussed and evidences supporting our analysis are to be presented in the paper. Nevertheless, the butterfly pattern is still a question in our mind. After in-depth analysis, we found the voids formation was associated with Metal1 orientation. Because of the horizontal orientation of Metal1, if the void happens it should locate in the end of the metal line in the butterfly area. While the majority of Via1/contact are stand on the line end, so the open Via1/contact failure will happen. For the die out of the butterfly area, the majority of the void locates in the sidewall of the metal line center. The majority Via1/contact are not stand in the center of the metal line center, of no Via1/contact open happen. But it is still has reliability concern. Much more detailed and in-depth mechanism is investigated in the paper. Moreover, improvement is also touched on. Systematic problem solving method is employed in this case. It is good reference for same kinds of failure analysis.