首页> 外文期刊>Journal of microanolithography, MEMS, and MOEMS >Design method and algorithms for directed self-assembly aware via layout decomposition in sub-7 nm circuits
【24h】

Design method and algorithms for directed self-assembly aware via layout decomposition in sub-7 nm circuits

机译:7纳米以下电路中通过布局分解定向定向自组装的设计方法和算法

获取原文
获取原文并翻译 | 示例
           

摘要

Major advancements in the directed self-assembly (DSA) of block copolymers have shown the technique's strong potential for via layer patterning in advanced technology nodes. Molecular scale pattern precision along with low cost processing promotes DSA technology as a great candidate for complementing conventional photolithography. Our studies show that decomposition of via layers with 193-nm immersion lithography in realistic circuits below the 7-nm node would require a prohibitive number of multiple patterning steps. The grouping of vias through templated DSA can resolve local conflicts in high density areas, limiting the number of required masks, and thus cutting a great deal of the associated costs. A design method for DSA via patterning in sub-7-nm nodes is discussed. We present options to expand the list of usable DSA templates and we formulate cost functions and algorithms for the optimal DSA-aware via layout decomposition. The proposed method works a posteriori, after place-and-route, allowing for fast practical implementation. We tested this method on a fully routed 32-bit processor designed for sub-7 nm technology nodes. Our results demonstrate a reduction of up to four lithography masks when compared to conventional non-DSA-aware decomposition.
机译:嵌段共聚物的定向自组装(DSA)的重大进展表明,该技术在先进技术节点中用于通孔层构图的强大潜力。分子尺度图案的精确度以及低成本的处理方法使DSA技术成为补充传统光刻技术的理想之选。我们的研究表明,在低于7 nm节点的实际电路中,采用193 nm浸没式光刻技术对通孔层进行分解将需要大量的多次构图步骤。通过模板化DSA对通孔进行分组可以解决高密度区域中的局部冲突,从而限制了所需的掩模数量,从而削减了大量相关成本。讨论了在7纳米以下节点中通过构图进行DSA的设计方法。我们提供了一些选项,以扩展可用的DSA模板的列表,并通过布局分解为最佳的DSA感知制定成本函数和算法。所提出的方法在布局布线之后可以事后进行,从而可以实现快速实用的实现。我们在专为7纳米以下技术节点设计的全路由32位处理器上测试了该方法。我们的结果表明,与传统的非DSA感知分解相比,最多可减少四个光刻掩模。

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