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首页> 外文期刊>Journal of Vacuum Science & Technology. B, Microelectronics and Nanometer Structures >Modeling of linewidth measurement in scanning electron microscopes using advanced Monte Carlo software
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Modeling of linewidth measurement in scanning electron microscopes using advanced Monte Carlo software

机译:使用先进的蒙特卡洛软件在扫描电子显微镜中线宽测量建模

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摘要

Accurate measurement of linewidth is a critical problem in sub-100 nm semiconductor manufacturing, where required accuracy is below I nm. Critical dimension scanning electron microscopes (CD-SEMs) are usually used for such measurements. A cross correlation of CD-SEMs, while demonstrating a good relative trend, is often subjected to a significant absolute linewidth error. There is no proven algorithm for absolute edge detection in CD-SEMs. In this article, the authors demonstrate that edge detection depends greatly on parameters of SEM settings, such as beam diameter, and pattern properties, such as the wall angle of a pattern. When both the signal and pattern are known, an offset for a specific SEM algorithm can be found. An algorithm for automatic edge detection in CD-SEMs can be tuned for beam parameters and the type of pattern. A SEM signal was simulated using the advanced Monte Carlo software CHARIOT. Input data for the modeling were three dimensional microstructures and e-beam parameters. A known pattern was then compared to a simulated signal. Such a comparison allowed to define the edge position and calibrate a SEM so that any system- and pattern-dependent errors could be removed. (c) 2006 American Vacuum Society.
机译:线宽的准确测量是亚100 nm以下半导体制造中的关键问题,在这种情况下,所需的精度低于1 nm。临界尺寸扫描电子显微镜(CD-SEM)通常用于此类测量。 CD-SEM的互相关性虽然显示出良好的相对趋势,但通常会遭受明显的绝对线宽误差。 CD-SEM中没有经过验证的绝对边缘检测算法。在本文中,作者证明了边缘检测在很大程度上取决于SEM设置的参数(例如光束直径)和图案属性(例如图案的壁角)。当信号和模式都已知时,可以找到特定SEM算法的偏移量。可以针对CD-SEM中的自动边缘检测算法调整光束参数和图案类型。使用先进的蒙特卡洛软件CHARIOT模拟SEM信号。用于建模的输入数据是三维微结构和电子束参数。然后将已知模式与模拟信号进行比较。这种比较可以定义边缘位置并校准SEM,从而可以消除任何与系统和图案有关的误差。 (c)2006年美国真空学会。

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