Passive voltage contrast (PVC) is widely used to detect underlying connectivity issues between metals based on the brightness of upper metals using scanning electron microscopy (SEM) or focused ion beam (FIB). [1] However, it cannot be applied in all cases due to the uniqueness of each case where brightness alone is insufficient to tell leakage location. In this study, propose a simple technique using platinum (Pt) marking as a circuit edit (CE) technique to alter metal PVC to identify the actual leakage location. Conventional SEM and PVC contrast imaging are unable to pinpoint exact defects without data confirming the leakage from nano-probing such as Atomic Force Probing (AFP) or SEM base nano-probing (NP) [2]. Using this method, we can improve the analysis cycle time by direct analysts the defective location in SEM, while also saving tool cost.
In this paper, the effects of an open defect resulting in floating gate on combinational logic gate structures are studied. From this study, a novel method is derived to predict and narrow down the potential open defect location from a long failure path that is driving multiple branches of input nodes, into a much smaller segment without EBAC analysis. This method is applied with great success to localize open defects on actual low yield cases from advanced technology nodes with significant reduction in FA cycle time.
Several product lots were found to suffer from data retention failures in OTP (one time program) devices. PFA (physical failure analysis) was performed on these devices, but nothing abnormal was observed. Cross-sectional TEM (transmission electron microscopy) revealed no physical defects or abnormal CDs (critical dimensions). In order to isolate the failed layer or location, electrical analysis was conducted. Several electrical simulation experiments, designed to test the data retention properties of OTP devices, were preformed. Meilke's method [1] was also used to differentiate between mobile ion contamination and charge trap centers. Besides Meilke's method, a new electrical analysis method was used to verify the analysis results. The results of our analysis suggests that SiN charge trap centers are the root cause for the data retention failures, and the ratio of Si/N is the key to charge trap center formation. Auger analysis was used to physically check the Si/N ratio of OTP devices. The results support our hypothesis. Subsequent DOE (Design Of Experiment) experiments also confirm our analysis results. Key Words: OTP, data retention, Non-visible defect, AFP, charge trap center, mobile ion.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.