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引用次数: 1

摘要

65纳米硅制造技术节点和更小几何形状的出现;特别是对于静态随机存取存储器(SRAM)阵列,存在故障隔离能力限制、物理随机存取存储器(PFA)方法识别复杂性、缺陷节点定位复杂性和缺陷与故障模式关联困难等问题。为了解决这些问题,介绍了通过软件仿真和缺陷数据库的建立来进行器件缺陷建模(DDM)的过程。通过DDM工艺的帮助,缺陷点被减少到单个晶体管或节点从SRAM阵列。缺陷模型是从仿真过程中导出的,它指导分析人员确定合适的PFA方法。DDM方法在失效机理到失效模式的模拟中是有效的。DDM过程同样有助于为SRAM布局设计构建缺陷数据库。这些数据库包含电路仿真结果、制造材料堆叠、建议的故障隔离技术和潜在缺陷位置等相关信息,为分析人员提供参考。
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Enhancing the SRAM Failure Analysis Process
The advent of the 65nm silicon fabrication technology node and smaller geometries; particularly for static random-access memory (SRAM) array, posed several Failure Analysis (FA) challenges such as the fault isolation capability limitations, physical FA (PFA) approach identification intricacy, defect node localization complexity and defect to fail mode correlation difficulty. To address these challenges, device defect modeling (DDM) process through software simulations and building of defect databases were introduced. Through the aid of the DDM process, defect sites were reduced to a single transistor or node from the SRAM array. Defect models were derived from the simulation process that guided analysts in identifying the suitable PFA approach. DDM process was effective in the failure mechanism to failure mode simulations. The DDM process was likewise instrumental in building defect databases for SRAM layout designs. These databases contained relevant information such as circuit simulation results, fabrication material stacking, suggested fault isolation techniques and potential defect locations that served as references for analysts.
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