Feasibility of monitoring a multiple e-beam tool using scatterometry and machine learning: stitching error detection

G. Rademaker, Y. Blancquaert, Thibault Labbaye, L. Mourier, N. Figueiro, Francisco Sanchez, R. Koret, J. Pradelles, S. Landis, Stéphane Rey, R. Haupt, Barak Bringoltz, Michael Shifrin, D. Kandel, Avron Ger, M. Sendelbach, S. Wolfling, L. Pain
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Abstract

Multiple electron beam direct write lithography is an emerging technology promising to address new markets, such as truly unique chips for security applications. The tool under consideration, the Mapper FLX-1200, exposes long 2.2 μm-wide zones called stripes by groups of 49 beams. The critical dimensions inside and the registration errors between the stripes, called stitching, are controlled by internal tool metrology. Additionally, there is great need for on-wafer metrology of critical dimension and stitching to monitor Mapper tool performance and validate the internal metrology. Optical Critical Dimension (OCD) metrology is a workhorse technique for various semiconductor manufacturing tools, such as deposition, etching, chemical-mechanical polishing and lithography machines. Previous works have shown the feasibility to measure the critical dimension of non-uniform targets by introducing an effective CD and shown that the non-uniformity can be quantified by a machine learning approach. This paper seeks to extend the previous work and presents a preliminary feasibility study to monitor stitching errors by measuring on a scatterometry tool with multiple optical channels. A wafer with OCD targets that mimic the various lithographic errors typical to the Mapper technology was created by variable shaped beam (VSB) e-beam lithography. The lithography process has been carefully tuned to minimize optically active systematic errors such as critical dimension gradients. The OCD targets contain horizontal and vertical gratings with a pitch of 100 nm and a nominal CD of 50 nm, and contain various stitching error types such as displacement in X, Y and diagonal gratings. Sensitivity to all stitching types has been shown. The DX targets showed non-linearity with respect to error size and typically were a factor of 3 less sensitive than the promising performance of DY targets. A similar performance difference has seen in nominally identical diagonal gratings exposed with vertical and horizontal lines, suggesting that OCD metrology for DX cannot be fully characterized due to lithography errors in gratings with vertical lines.
利用散射测量和机器学习监测多电子束工具的可行性:拼接错误检测
多电子束直写光刻技术是一项新兴技术,有望解决新市场,例如真正独特的安全应用芯片。正在讨论的工具是Mapper FLX-1200,它通过49束一组暴露出2.2 μm宽的条纹。内部的关键尺寸和条纹之间的配准误差(称为拼接)由内部刀具计量控制。此外,还需要对关键尺寸和拼接进行晶圆上计量,以监控Mapper工具的性能并验证内部计量。光学临界尺寸(OCD)计量是各种半导体制造工具的主要技术,如沉积,蚀刻,化学机械抛光和光刻机。以往的研究表明,通过引入有效CD来测量非均匀目标的临界尺寸是可行的,并且可以通过机器学习方法对非均匀性进行量化。本文旨在扩展先前的工作,并提出了一个初步的可行性研究,以监测拼接误差的测量与多光通道散射测量工具。采用可变形状光束(VSB)电子束光刻技术制造了具有OCD目标的晶圆,模拟了Mapper技术中常见的各种光刻误差。光刻工艺已经过精心调整,以尽量减少光学主动系统误差,如临界尺寸梯度。OCD目标包含水平和垂直光栅,间距为100 nm,标称CD为50 nm,并包含各种拼接误差类型,如X, Y和对角光栅的位移。对所有拼接类型的敏感性已经显示。DX靶在误差大小方面表现出非线性,其灵敏度通常比DY靶低3倍。在垂直和水平线暴露的名义上相同的对角光栅中也出现了类似的性能差异,这表明由于带有垂直线的光栅中的光刻误差,DX的OCD计量不能完全表征。
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