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Prevention Instead of Cure ― Pre-OPC Treatment of Photomask Layouts

机译:预防而非治愈― OPC前处理光掩模版图

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Data preparation of photomask layout has become a major issue of mask making. As model-based OPC becomes a compulsory technology for advanced manufacturing processes, photolithography engineers encounter the issue in data preparation of photomask layout―the file size after-OPC treatment is much larger than original file size (without OPC treatment). Consequence of large file size leads to difficult manipulation of database such as longer OPC run time and larger disk space, which challenges computer systems and software tools, etc. Part of file-size expansion arises from the nature of current methodology, which is caused by fragmentation of polygon edges. However, still part of expansion is unnecessary, because some unintentional layout is sent into an OPC engine. If any given OPC engine is fed with unintentional layout features, frequently very bad, in terms of photolithography target and file size, post-OPC layout is produced. To avoid the unnecessary file size expansion and unintentional features produced after OPC is applied on layouts, a systematic "smoothing" algorithm is developed to apply on a real chip. Any algorithms that scan through polygons for each type of defects would be unavoidable to scan the whole layout many times. The algorithm introduced here does not try to fix different kinds of polygon "defects" one by one. The key is different kinds of defects are reduced to a few categories. The performance can be expected because polygons are scanned through fewer tunes. After the treatment, the numbers of polygon vertices becomes less. The new database is also more OPC friendly.
机译:光掩模布局的数据准备已经成为掩模制造的主要问题。随着基于模型的OPC成为先进制造工艺的强制性技术,光刻工程师在光掩模版图的数据准备中遇到了问题-经过OPC处理的文件大小比原始文件大得多(未经OPC处理)。大文件的后果导致难以操纵数据库,例如更长的OPC运行时间和更大的磁盘空间,这给计算机系统和软件工具等带来了挑战。文件大小扩展的部分原因是当前方法的本质,这是由以下原因引起的:多边形边缘的碎片化。但是,扩展的一部分仍然是不必要的,因为某些意外的布局已发送到OPC引擎中。如果给定给定的OPC引擎提供了意外的版面设计功能(通常非常糟糕),就光刻目标和文件大小而言,将生成OPC后版式。为了避免在将OPC应用于布局后不必要的文件大小扩展和意外的功能,开发了一种系统的“平滑”算法以应用于实际的芯片。扫描每种缺陷类型的多边形的任何算法都将不可避免地多次扫描整个布局。这里介绍的算法并不是试图一一解决不同类型的多边形“缺陷”。关键是将各种缺陷减少到几类。由于可以通过更少的曲调扫描多边形,因此可以预期性能。处理后,多边形顶点的数量变少。新的数据库对OPC也更加友好。

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