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Off-target Model Based OPC

机译:基于脱靶模型的OPC

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摘要

Model-based Optical Proximity correction has become an indispensable tool for achieving wafer pattern to design fidelity at current manufacturing process nodes. Most model-based OPC is performed considering the nominal process condition, with limited consideration of through process manufacturing robustness. This study examines the use of off-target process models - models that represent non-nominal process states such as would occur with a dose or focus variation - to understands and manipulate the final pattern correction to a more process robust configuration. The study will first examine and validate the process of generating an off-target model, then examine the quality of the off-target model. Once the off-target model is proven, it will be used to demonstrate methods of generating process robust corrections. The concepts are demonstrated using a 0.13 μm logic gate process. Preliminary indications show success in both off-target model production and process robust corrections. With these off-target models as tools, mask production cycle times can be reduced.
机译:基于模型的光学邻近度校正已成为在当前制造工艺节点上获得晶圆图案以设计保真度的必不可少的工具。大多数基于模型的OPC都是在考虑标称工艺条件的情况下执行的,而很少考虑到整个过程的制造鲁棒性。这项研究研究了脱靶过程模型的使用-代表非标称过程状态的模型,例如剂量或焦点变化会发生的过程-了解和操纵最终模式校正以使过程更稳健。该研究将首先检查并验证生成脱靶模型的过程,然后检查脱靶模型的质量。一旦脱靶模型得到证明,它将用于演示生成过程鲁棒校正的方法。使用0.13μm逻辑门工艺演示了这些概念。初步迹象表明,脱靶模型生产和过程鲁棒性校正均成功。使用这些脱靶模型作为工具,可以减少掩模生产的周期时间。

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