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Study of Static Noise Margin and Circuit Analysis on Advanced Technology Node SRAM Devices by Nanoprobing

机译:纳勒布静态技术节点SRAM设备静噪边距及电路分析研究

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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.
机译:通过进一步的技术缩放,对于传统的故障分析方法(FA)来识别失败的原因变得越来越具有挑战性。在这项工作中,我们提出了三种案例研究,利用高级纳米素用于SRAM电路分析和20nm技术节点SRAM单位设备的故障识别。在前2例案例研究中,通过被动电压对比度(PVC)的传统故障分析未能识别已知失败位中的任何异常。在第三种情况下,通过PVC检查观察到异常明亮的PVC。在所有三种案例研究中,执行在保持和读取操作期间SRAM比特的静态噪声裕度以了解故障位单元的电路行为。接下来,进行各个晶体管上的纳米侵入,以确定该比特内的故障晶体管和故障的可能原因。进行TEM分析以识别和验证失败机制。

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