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An efficient tagging point selection algorithm to facilitate OPC process

机译:一种有效的标记点选择算法,便于opc过程

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The rapid advance of resolution enhancement technique (RET) has driven the integrated circuits to the nanometer-scale era. Optical proximity correction (OPC) is one of the RET techniques that can be employed to reshape the mask patterns for correcting the distortion due to the optical proximity effect (OPE). In this paper, an Optical Performance Index (OPI) is proposed as an evaluation criteria for OPC performance. Also, an efficient tagging point selection algorithm is developed to facilitate the OPC process. Based on the OPI and selection algorithm, the tagging points for OPC can be easily located on either the regular patterns, e.g., rectangle or polygon, or the irregular patterns such as convex or concave patterns. Experimental results show that the quantity of storage and computing time can be dramatically reduced.
机译:分辨率增强技术的快速进步(RET)向纳米级时代推动了集成电路。光学接近校正(OPC)是可用于重塑掩模图案以校正由于光学邻近效应(OPE)而重塑的掩模图案的RET技术之一。本文提出了一种光学性能指标(OPI)作为OPC性能的评估标准。此外,开发了一种有效的标记选择算法以便于OPC过程。基于OPI和选择算法,OPC的标记点可以容易地位于常规模式,例如矩形或多边形,或者诸如凸形或凹形图案的不规则图案。实验结果表明,储存量和计算时间可以大大减少。

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