With further technology scaling, it becomes increasingly challenging for conventional methods of failure analysis (FA) to identify the cause of a failure. In this work, we present three case studies on the utilization of advanced nanoprobing for SRAM circuit analysis and fault identification on 20 nm technology node SRAM single bit devices. In the first 2 case studies, conventional failure analysis by passive voltage contrast (PVC) failed to identify any abnormality in the known failed bit. In the third case study, an abnormally bright PVC was observed by PVC inspection. In all three case studies, static noise margin of the SRAM bits during hold and read operations were performed to understand the circuit behavior of the failed bit cell. Next, nanoprobing on the individual transistors were performed to determine the failing transistor within the bit and the possible cause of the failure. TEM analysis was performed to identify and verify the failure mechanism.

With the scaling of semiconductor devices to nanometer range, ensuring surface uniformity over a large area while performing top down physical delayering has become a greater challenge. In this paper, the application of laser deprocessing technique (LDT) to achieve better surface uniformity as well as for fast deprocessing of sample for defect identification in nanoscale devices are discussed. The proposed laser deprocess technique is a cost-effective and quick way to deprocess sample for defect identification and Transmission Electron Microscopy (TEM) analysis.

Top-down, layer-by-layer de-layering inspection with a mechanical polisher and serial cross-sectional Focused Ion Beam (XFIB) slicing are two common approaches for physical failure analysis (PFA). This paper uses XFIB to perform top-down, layer-by-layer de-layering followed by Scanning Electron Microscope (SEM) inspection. The advantage of the FIB-SEM de-layering technique over mechanical de-layering is better control of the de-layering process. Combining the precise milling capability of the FIB with the real-time imaging capability of the SEM enables the operator to observe the de-layering as it progresses, minimizing the likelihood of removing either too much or too little material. Furthermore, real time SEM view during top-down XFIB de-layering is able to provide a better understanding of how the defects are formed and these findings could then be feedback to the production line for process improvement.

SEM-based nanoprobing has proven vital in identifying nonvisual failures through electrical characterization in current FA metrology for fault identification. With eight probes used concurrently, the system could have the ability to obtain other important information such as cell stability as well as the static noise margin (SNM). In this work, the cell stability and SNM at different biasing conditions at low electron beam energy (500eV) of a sub-30 nm technology node SRAM device have been characterized. Bit cell stability, static noise margin test as well as leakage study between two adjacent floating wordines were performed on the SRAM samples. Results show that no significant degradation has been introduced during the data acquisition and imaging processes in the SEM. Good resolution imaging with passive voltage contrast can be achieved with low electron voltage (500eV) throughout the nanoprobing process.

With the scaling down of semiconductor devices to nanometer range, fault isolation and physical failure analysis (PFA) have become more challenging. In this paper, different types of fault isolation techniques to identify gross short failures in nanoscale devices are discussed. The proposed cut/deprocess and microprobe/bench technique is an economical and simple way of identifying low resistance gross short failures.