通过高分辨率大规模CDU计量有效监测Epi过程窗口:主题:AM(高级计量)

Z. Y. Chen, T. Y. Chen, I. Holcman, Bruce Tseng
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引用次数: 2

摘要

先进的技术随着设计规则的缩减和多图案步骤的增加,引入了具有挑战性的工艺公差。工艺边际性以边缘放置误差(EPE)、线边缘粗糙度(LER)、线宽度粗糙度(LWR)、覆盖和工艺诱导的图案缺陷的形式存在。需要先进的测量和监测技术来跟踪工艺引起的模具、现场和晶圆内的临界图案畸变。关键模式特征(即热点)测量的大量采样可以解决严密的过程裕度监测问题。在模具、现场和晶圆上的许多测量可以揭示出从薄膜沉积、光刻、蚀刻、化学机械抛光和外延生长等工艺工具的清晰特征,这表明存在工艺窗口边缘问题。清晰的签名可以从数千到数百万次测量中构建。需要高分辨率和高通量的测量工具来提供临界尺寸均匀性(CDU)和边缘放置误差的覆盖移位功能。连续减小翅片间距的通道应变对晶体外延生长提出了新的挑战。横向生长尺寸、异常生长和形状的监测是过程监控中最具挑战性的任务之一。Epi生长监测包括许多测量类型和缺陷检测。介绍了一种基于大量热点和CDU测量的监测新方法。给出了其在外延生长模块中的实现实例,供工程师及时采取有效措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effective Epi process window monitoring by high resolution massive CDU metrology: Topic: AM (Advanced metrology)
Advanced technology with shrinking design rules and increasing multi-patterning steps introduce challenging process tolerances. Process marginality is in the form of Edge Placement Errors (EPE), Line Edge Roughness (LER), Line Width Roughness (LWR), Overlay and process induced pattern defects. Advanced metrology and monitoring techniques are needed to trace process induced critical pattern distortion within die, field and wafer. Massive sampling of critical pattern features (i.e. hot spots) measurements can be the solution for tight process margins monitoring. Many measurements across die, field and wafer can reveal clear signature of the process tools from film deposition, lithography, etch, chemical mechanical polishing and epitaxial growth indicate immerging process window marginality issues. Clear signature can be built from thousands to millions measurements. High resolution and throughput metrology tool is needed to provide capabilities in critical dimension uniformity (CDU) and overlay shift for Edge Placement Errors. Channel strain in continuous fin pitch reduction introduces new challenges in crystalline epitaxy growth. It is one of the most challenging tasks in process monitoring and control for lateral growth dimension, abnormal growth and shapes. Epi growth monitoring includes many measurement types and defect detection. A study of new monitoring method based on massive hotspot and CDU measurements is introduced. Examples of its implementation in Epitaxial growth module are provided for engineers to make effective actions in time.
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