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Computational Aspects of Optical Lithography Extension by Directed Self-Assembly

机译:通过定向自组装扩展光学光刻的计算方面

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EUV insertion timing for High Volume Manufacturing is still an uncertainty due to source power and EUV mask infrastructure limitations. Directed Self Assembly (DSA) processes offer the promise of providing alternative ways to extend optical lithography cost-effectively for use in the 10nm node and beyond. The goal of this paper is to look into the technical prospect of DSA technology, particularly in the computational and DFM area. We have developed a prototype computational patterning toolset in-house to enable an early Design -Technology Co-Optimization to study the feasibility of using DSA in patterning semiconductor devices and circuits. From this toolset we can identify the set of DSA specific design restrictions specific to a DSA process and plan to develop a novel full chip capable computational patterning solution with DSA. We discuss the DSA Computational Lithography (CL) infrastructure using the via and fin layers as examples. Early wafer data is collected from the DSA testmask that was built using these new toolsets. Finally we discuss the DSA ecosystem requirements for enabling DSA lithography and propose how EDA vendors can play a role in making DSA Lithography (DSAL) a full-chip viable technology for multiple process layers.
机译:由于源功率和EUV掩模基础设施的限制,大批量生产的EUV插入时间仍然不确定。定向自组装(DSA)工艺有望提供一种可替代的方法,以经济高效的方式扩展光学光刻,以用于10nm节点及以后的工艺中。本文的目的是研究DSA技术的技术前景,特别是在计算和DFM领域。我们已经内部开发了原型计算图案化工具集,以使早期的设计技术共同优化研究使用DSA来图案化半导体器件和电路的可行性。从该工具集中,我们可以确定特定于DSA流程的一组DSA特定设计限制,并计划开发一种具有DSA的新颖的具有全芯片功能的计算模式解决方案。我们以通孔和鳍层为例讨论DSA计算光刻(CL)基础结构。早期晶圆数据是从使用这些新工具集构建的DSA测试掩模中收集的。最后,我们讨论了实现DSA光刻的DSA生态系统要求,并提出了EDA供应商如何在使DSA光刻(DSAL)成为适用于多个工艺层的全芯片可行技术方面发挥作用。

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