首页> 外文会议>International symposium on photomask technology >Novel mask inspection flow using Sensitivity Control Layers (SCL) onthe TeraScanHR-587 Platform
【24h】

Novel mask inspection flow using Sensitivity Control Layers (SCL) onthe TeraScanHR-587 Platform

机译:在Terascanhr-587平台上使用灵敏度控制层(SCL)的新型掩模检查流程

获取原文

摘要

Conventional photomask inspection techniques utilize global sensitivity for all inspected area in the die; SRAF and OPCfeatures become the sensitivity-limiters, which can result in reduced visibility to defects of interest (DOI). We describethe implementation of Sensitivity Control Layer (SCL), a novel database inspection methodology for the KLA-TencorTerascanHR platform. This methodology enables inspection at maximum sensitivity in critical die-areas via "layerdefinition" during job set-up and sensitivity management of the layers during inspection. Memory device inspectionperformance was improved through the use of up to six control layers to increase sensitivity in the active area whilereducing nuisance detections by as much as 100X. The corresponding inspection time was reduced by 30%, illustratingthe potential for substantial throughput advantage using SCL. Post-inspection analysis and improved dispositionaccuracy of the SCL-enabled inspections will also benefit cycle time and higher throughput. In all test cases, sensitivityparameters were increased in the regions of interest over baseline inspections run with typical production-usemethodologies. SCL inspection management and application on OPC structures, SRAFs, and MRC violations (slivers)are discussed in detail.
机译:传统的光掩模检查技术利用模具中所有检查区域的全局敏感性; SRAF和OPCFeatures成为灵敏度限制器,这可能导致对兴趣缺陷(DOI)的可见性降低。我们描述了灵敏度控制层(SCL)的实现,这是KLA-TECTORTERASCANHR平台的新型数据库检查方法。该方法能够通过在检查期间,通过在工作中的工作设置和敏感性管理期间通过“二层义”来检查临界模面中的最大灵敏度。通过使用多达六个对照层可以提高存储器设备检查性能,以提高有源区域的灵敏度,从而高达100x的滋扰检测。相应的检查时间减少了30%,说明了使用SCL的大量产量优势的可能性。检验后分析和改进的SCL的检查的倾向性帐户也将受益循环时间和更高的吞吐量。在所有测试用例中,对基线检查区域的敏感性分数增加,典型的生产 - 紫外线滴药。详细讨论了SCL检测管理和对OPC结构,SRAF和MRC违规(SLIVES)的应用。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号